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  • Published: 27 September 2021

Why lockdown and distance learning during the COVID-19 pandemic are likely to increase the social class achievement gap

  • Sébastien Goudeau   ORCID: orcid.org/0000-0001-7293-0977 1 ,
  • Camille Sanrey   ORCID: orcid.org/0000-0003-3158-1306 1 ,
  • Arnaud Stanczak   ORCID: orcid.org/0000-0002-2596-1516 2 ,
  • Antony Manstead   ORCID: orcid.org/0000-0001-7540-2096 3 &
  • Céline Darnon   ORCID: orcid.org/0000-0003-2613-689X 2  

Nature Human Behaviour volume  5 ,  pages 1273–1281 ( 2021 ) Cite this article

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The COVID-19 pandemic has forced teachers and parents to quickly adapt to a new educational context: distance learning. Teachers developed online academic material while parents taught the exercises and lessons provided by teachers to their children at home. Considering that the use of digital tools in education has dramatically increased during this crisis, and it is set to continue, there is a pressing need to understand the impact of distance learning. Taking a multidisciplinary view, we argue that by making the learning process rely more than ever on families, rather than on teachers, and by getting students to work predominantly via digital resources, school closures exacerbate social class academic disparities. To address this burning issue, we propose an agenda for future research and outline recommendations to help parents, teachers and policymakers to limit the impact of the lockdown on social-class-based academic inequality.

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The widespread effects of the COVID-19 pandemic that emerged in 2019–2020 have drastically increased health, social and economic inequalities 1 , 2 . For more than 900 million learners around the world, the pandemic led to the closure of schools and universities 3 . This exceptional situation forced teachers, parents and students to quickly adapt to a new educational context: distance learning. Teachers had to develop online academic materials that could be used at home to ensure educational continuity while ensuring the necessary physical distancing. Primary and secondary school students suddenly had to work with various kinds of support, which were usually provided online by their teachers. For college students, lockdown often entailed returning to their hometowns while staying connected with their teachers and classmates via video conferences, email and other digital tools. Despite the best efforts of educational institutions, parents and teachers to keep all children and students engaged in learning activities, ensuring educational continuity during school closure—something that is difficult for everyone—may pose unique material and psychological challenges for working-class families and students.

Not only did the pandemic lead to the closure of schools in many countries, often for several weeks, it also accelerated the digitalization of education and amplified the role of parental involvement in supporting the schoolwork of their children. Thus, beyond the specific circumstances of the COVID-19 lockdown, we believe that studying the effects of the pandemic on academic inequalities provides a way to more broadly examine the consequences of school closure and related effects (for example, digitalization of education) on social class inequalities. Indeed, bearing in mind that (1) the risk of further pandemics is higher than ever (that is, we are in a ‘pandemic era’ 4 , 5 ) and (2) beyond pandemics, the use of digital tools in education (and therefore the influence of parental involvement) has dramatically increased during this crisis, and is set to continue, there is a pressing need for an integrative and comprehensive model that examines the consequences of distance learning. Here, we propose such an integrative model that helps us to understand the extent to which the school closures associated with the pandemic amplify economic, digital and cultural divides that in turn affect the psychological functioning of parents, students and teachers in a way that amplifies academic inequalities. Bringing together research in social sciences, ranging from economics and sociology to social, cultural, cognitive and educational psychology, we argue that by getting students to work predominantly via digital resources rather than direct interactions with their teachers, and by making the learning process rely more than ever on families rather than teachers, school closures exacerbate social class academic disparities.

First, we review research showing that social class is associated with unequal access to digital tools, unequal familiarity with digital skills and unequal uses of such tools for learning purposes 6 , 7 . We then review research documenting how unequal familiarity with school culture, knowledge and skills can also contribute to the accentuation of academic inequalities 8 , 9 . Next, we present the results of surveys conducted during the 2020 lockdown showing that the quality and quantity of pedagogical support received from schools varied according to the social class of families (for examples, see refs. 10 , 11 , 12 ). We then argue that these digital, cultural and structural divides represent barriers to the ability of parents to provide appropriate support for children during distance learning (Fig. 1 ). These divides also alter the levels of self-efficacy of parents and children, thereby affecting their engagement in learning activities 13 , 14 . In the final section, we review preliminary evidence for the hypothesis that distance learning widens the social class achievement gap and we propose an agenda for future research. In addition, we outline recommendations that should help parents, teachers and policymakers to use social science research to limit the impact of school closure and distance learning on the social class achievement gap.

figure 1

Economic, structural, digital and cultural divides influence the psychological functioning of parents and students in a way that amplify inequalities.

The digital divide

Unequal access to digital resources.

Although the use of digital technologies is almost ubiquitous in developed nations, there is a digital divide such that some people are more likely than others to be numerically excluded 15 (Fig. 1 ). Social class is a strong predictor of digital disparities, including the quality of hardware, software and Internet access 16 , 17 , 18 . For example, in 2019, in France, around 1 in 5 working-class families did not have personal access to the Internet compared with less than 1 in 20 of the most privileged families 19 . Similarly, in 2020, in the United Kingdom, 20% of children who were eligible for free school meals did not have access to a computer at home compared with 7% of other children 20 . In 2021, in the United States, 41% of working-class families do not own a laptop or desktop computer and 43% do not have broadband compared with 8% and 7%, respectively, of upper/middle-class Americans 21 . A similar digital gap is also evident between lower-income and higher-income countries 22 .

Second, simply having access to a computer and an Internet connection does not ensure effective distance learning. For example, many of the educational resources sent by teachers need to be printed, thereby requiring access to printers. Moreover, distance learning is more difficult in households with only one shared computer compared with those where each family member has their own 23 . Furthermore, upper/middle-class families are more likely to be able to guarantee a suitable workspace for each child than their working-class counterparts 24 .

In the context of school closures, such disparities are likely to have important consequences for educational continuity. In line with this idea, a survey of approximately 4,000 parents in the United Kingdom confirmed that during lockdown, more than half of primary school children from the poorest families did not have access to their own study space and were less well equipped for distance learning than higher-income families 10 . Similarly, a survey of around 1,300 parents in the Netherlands found that during lockdown, children from working-class families had fewer computers at home and less room to study than upper/middle-class children 11 .

Data from non-Western countries highlight a more general digital divide, showing that developing countries have poorer access to digital equipment. For example, in India in 2018, only 10.7% of households possessed a digital device 25 , while in Pakistan in 2020, 31% of higher-education teachers did not have Internet access and 68.4% did not have a laptop 26 . In general, developing countries lack access to digital technologies 27 , 28 , and these difficulties of access are even greater in rural areas (for example, see ref. 29 ). Consequently, school closures have huge repercussions for the continuity of learning in these countries. For example, in India in 2018, only 11% of the rural and 40% of the urban population above 14 years old could use a computer and access the Internet 25 . Time spent on education during school closure decreased by 80% in Bangladesh 30 . A similar trend was observed in other countries 31 , with only 22% of children engaging in remote learning in Kenya 32 and 50% in Burkina Faso 33 . In Ghana, 26–32% of children spent no time at all on learning during the pandemic 34 . Beyond the overall digital divide, social class disparities are also evident in developing countries, with lower access to digital resources among households in which parental educational levels were low (versus households in which parental educational levels were high; for example, see ref. 35 for Nigeria and ref. 31 for Ecuador).

Unequal digital skills

In addition to unequal access to digital tools, there are also systematic variations in digital skills 36 , 37 (Fig. 1 ). Upper/middle-class families are more familiar with digital tools and resources and are therefore more likely to have the digital skills needed for distance learning 38 , 39 , 40 . These digital skills are particularly useful during school closures, both for students and for parents, for organizing, retrieving and correctly using the resources provided by the teachers (for example, sending or receiving documents by email, printing documents or using word processors).

Social class disparities in digital skills can be explained in part by the fact that children from upper/middle-class families have the opportunity to develop digital skills earlier than working-class families 41 . In member countries of the OECD (Organisation for Economic Co-operation and Development), only 23% of working-class children had started using a computer at the age of 6 years or earlier compared with 43% of upper/middle-class children 42 . Moreover, because working-class people tend to persist less than upper/middle-class people when confronted with digital difficulties 23 , the use of digital tools and resources for distance learning may interfere with the ability of parents to help children with their schoolwork.

Unequal use of digital tools

A third level of digital divide concerns variations in digital tool use 18 , 43 (Fig. 1 ). Upper/middle-class families are more likely to use digital resources for work and education 6 , 41 , 44 , whereas working-class families are more likely to use these resources for entertainment, such as electronic games or social media 6 , 45 . This divide is also observed among students, whereby working-class students tend to use digital technologies for leisure activities, whereas their upper/middle-class peers are more likely to use them for academic activities 46 and to consider that computers and the Internet provide an opportunity for education and training 23 . Furthermore, working-class families appear to regulate the digital practices of their children less 47 and are more likely to allow screens in the bedrooms of children and teenagers without setting limits on times or practices 48 .

In sum, inequalities in terms of digital resources, skills and use have strong implications for distance learning. This is because they make working-class students and parents particularly vulnerable when learning relies on extensive use of digital devices rather than on face-to-face interaction with teachers.

The cultural divide

Even if all three levels of digital divide were closed, upper/middle-class families would still be better prepared than working-class families to ensure educational continuity for their children. Upper/middle-class families are more familiar with the academic knowledge and skills that are expected and valued in educational settings, as well as with the independent, autonomous way of learning that is valued in the school culture and becomes even more important during school closure (Fig. 1 ).

Unequal familiarity with academic knowledge and skills

According to classical social reproduction theory 8 , 49 , school is not a neutral place in which all forms of language and knowledge are equally valued. Academic contexts expect and value culture-specific and taken-for-granted forms of knowledge, skills and ways of being, thinking and speaking that are more in tune with those developed through upper/middle-class socialization (that is, ‘cultural capital’ 8 , 50 , 51 , 52 , 53 ). For instance, academic contexts value interest in the arts, museums and literature 54 , 55 , a type of interest that is more likely to develop through socialization in upper/middle-class families than in working-class socialization 54 , 56 . Indeed, upper/middle-class parents are more likely than working-class parents to engage in activities that develop this cultural capital. For example, they possess more books and cultural objects at home, read more stories to their children and visit museums and libraries more often (for examples, see refs. 51 , 54 , 55 ). Upper/middle-class children are also more involved in extra-curricular activities (for example, playing a musical instrument) than working-class children 55 , 56 , 57 .

Beyond this implicit familiarization with the school curriculum, upper/middle-class parents more often organize educational activities that are explicitly designed to develop academic skills of their children 57 , 58 , 59 . For example, they are more likely to monitor and re-explain lessons or use games and textbooks to develop and reinforce academic skills (for example, labelling numbers, letters or colours 57 , 60 ). Upper/middle-class parents also provide higher levels of support and spend more time helping children with homework than working-class parents (for examples, see refs. 61 , 62 ). Thus, even if all parents are committed to the academic success of their children, working-class parents have fewer chances to provide the help that children need to complete homework 63 , and homework is more beneficial for children from upper-middle class families than for children from working-class families 64 , 65 .

School closures amplify the impact of cultural inequalities

The trends described above have been observed in ‘normal’ times when schools are open. School closures, by making learning rely more strongly on practices implemented at home (rather than at school), are likely to amplify the impact of these disparities. Consistent with this idea, research has shown that the social class achievement gap usually greatly widens during school breaks—a phenomenon described as ‘summer learning loss’ or ‘summer setback’ 66 , 67 , 68 . During holidays, the learning by children tends to decline, and this is particularly pronounced in children from working-class families. Consequently, the social class achievement gap grows more rapidly during the summer months than it does in the rest of the year. This phenomenon is partly explained by the fact that during the break from school, social class disparities in investment in activities that are beneficial for academic achievement (for example, reading, travelling to a foreign country or museum visits) are more pronounced.

Therefore, when they are out of school, children from upper/middle-class backgrounds may continue to develop academic skills unlike their working-class counterparts, who may stagnate or even regress. Research also indicates that learning loss during school breaks tends to be cumulative 66 . Thus, repeated episodes of school closure are likely to have profound consequences for the social class achievement gap. Consistent with the idea that school closures could lead to similar processes as those identified during summer breaks, a recent survey indicated that during the COVID-19 lockdown in the United Kingdom, children from upper/middle-class families spent more time on educational activities (5.8 h per day) than those from working-class families (4.5 h per day) 7 , 69 .

Unequal dispositions for autonomy and self-regulation

School closures have encouraged autonomous work among students. This ‘independent’ way of studying is compatible with the family socialization of upper/middle-class students, but does not match the interdependent norms more commonly associated with working-class contexts 9 . Upper/middle-class contexts tend to promote cultural norms of independence whereby individuals perceive themselves as autonomous actors, independent of other individuals and of the social context, able to pursue their own goals 70 . For example, upper/middle-class parents tend to invite children to express their interests, preferences and opinions during the various activities of everyday life 54 , 55 . Conversely, in working-class contexts characterized by low economic resources and where life is more uncertain, individuals tend to perceive themselves as interdependent, connected to others and members of social groups 53 , 70 , 71 . This interdependent self-construal fits less well with the independent culture of academic contexts. This cultural mismatch between interdependent self-construal common in working-class students and the independent norms of the educational institution has negative consequences for academic performance 9 .

Once again, the impact of these differences is likely to be amplified during school closures, when being able to work alone and autonomously is especially useful. The requirement to work alone is more likely to match the independent self-construal of upper/middle-class students than the interdependent self-construal of working-class students. In the case of working-class students, this mismatch is likely to increase their difficulties in working alone at home. Supporting our argument, recent research has shown that working-class students tend to underachieve in contexts where students work individually compared with contexts where students work with others 72 . Similarly, during school closures, high self-regulation skills (for example, setting goals, selecting appropriate learning strategies and maintaining motivation 73 ) are required to maintain study activities and are likely to be especially useful for using digital resources efficiently. Research has shown that students from working-class backgrounds typically develop their self-regulation skills to a lesser extent than those from upper/middle-class backgrounds 74 , 75 , 76 .

Interestingly, some authors have suggested that independent (versus interdependent) self-construal may also affect communication with teachers 77 . Indeed, in the context of distance learning, working-class families are less likely to respond to the communication of teachers because their ‘interdependent’ self leads them to respect hierarchies, and thus perceive teachers as an expert who ‘can be trusted to make the right decisions for learning’. Upper/middle class families, relying on ‘independent’ self-construal, are more inclined to seek individualized feedback, and therefore tend to participate to a greater extent in exchanges with teachers. Such cultural differences are important because they can also contribute to the difficulties encountered by working-class families.

The structural divide: unequal support from schools

The issues reviewed thus far all increase the vulnerability of children and students from underprivileged backgrounds when schools are closed. To offset these disadvantages, it might be expected that the school should increase its support by providing additional resources for working-class students. However, recent data suggest that differences in the material and human resources invested in providing educational support for children during periods of school closure were—paradoxically—in favour of upper/middle-class students (Fig. 1 ). In England, for example, upper/middle-class parents reported benefiting from online classes and video-conferencing with teachers more often than working-class parents 10 . Furthermore, active help from school (for example, online teaching, private tutoring or chats with teachers) occurred more frequently in the richest households (64% of the richest households declared having received help from school) than in the poorest households (47%). Another survey found that in the United Kingdom, upper/middle-class children were more likely to take online lessons every day (30%) than working-class students (16%) 12 . This substantial difference might be due, at least in part, to the fact that private schools are better equipped in terms of online platforms (60% of schools have at least one online platform) than state schools (37%, and 23% in the most deprived schools) and were more likely to organize daily online lessons. Similarly, in the United Kingdom, in schools with a high proportion of students eligible for free school meals, teachers were less inclined to broadcast an online lesson for their pupils 78 . Interestingly, 58% of teachers in the wealthiest areas reported having messaged their students or their students’ parents during lockdown compared with 47% in the most deprived schools. In addition, the probability of children receiving technical support from the school (for example, by providing pupils with laptops or other devices) is, surprisingly, higher in the most advantaged schools than in the most deprived 78 .

In addition to social class disparities, there has been less support from schools for African-American and Latinx students. During school closures in the United States, 40% of African-American students and 30% of Latinx students received no online teaching compared with 10% of white students 79 . Another source of inequality is that the probability of school closure was correlated with social class and race. In the United States, for example, school closures from September to December 2020 were more common in schools with a high proportion of racial/ethnic minority students, who experience homelessness and are eligible for free/discounted school meals 80 .

Similarly, access to educational resources and support was lower in poorer (compared with richer) countries 81 . In sub-Saharan Africa, during lockdown, 45% of children had no exposure at all to any type of remote learning. Of those who did, the medium was mostly radio, television or paper rather than digital. In African countries, at most 10% of children received some material through the Internet. In Latin America, 90% of children received some remote learning, but less than half of that was through the internet—the remainder being via radio and television 81 . In Ecuador, high-school students from the lowest wealth quartile had fewer remote-learning opportunities, such as Google class/Zoom, than students from the highest wealth quartile 31 .

Thus, the achievement gap and its accentuation during lockdown are due not only to the cultural and digital disadvantages of working-class families but also to unequal support from schools. This inequality in school support is not due to teachers being indifferent to or even supportive of social stratification. Rather, we believe that these effects are fundamentally structural. In many countries, schools located in upper/middle-class neighbourhoods have more money than those in the poorest neighbourhoods. Moreover, upper/middle-class parents invest more in the schools of their children than working-class parents (for example, see ref. 82 ), and schools have an interest in catering more for upper/middle-class families than for working-class families 83 . Additionally, the expectation of teachers may be lower for working-class children 84 . For example, they tend to estimate that working-class students invest less effort in learning than their upper/middle-class counterparts 85 . These differences in perception may have influenced the behaviour of teachers during school closure, such that teachers in privileged neighbourhoods provided more information to students because they expected more from them in term of effort and achievement. The fact that upper/middle-class parents are better able than working-class parents to comply with the expectations of teachers (for examples, see refs. 55 , 86 ) may have reinforced this phenomenon. These discrepancies echo data showing that working-class students tend to request less help in their schoolwork than upper/middle-class ones 87 , and they may even avoid asking for help because they believe that such requests could lead to reprimands 88 . During school closures, these students (and their families) may in consequence have been less likely to ask for help and resources. Jointly, these phenomena have resulted in upper/middle-class families receiving more support from schools during lockdown than their working-class counterparts.

Psychological effects of digital, cultural and structural divides

Despite being strongly influenced by social class, differences in academic achievement are often interpreted by parents, teachers and students as reflecting differences in ability 89 . As a result, upper/middle-class students are usually perceived—and perceive themselves—as smarter than working-class students, who are perceived—and perceive themselves—as less intelligent 90 , 91 , 92 or less able to succeed 93 . Working-class students also worry more about the fact that they might perform more poorly than upper/middle-class students 94 , 95 . These fears influence academic learning in important ways. In particular, they can consume cognitive resources when children and students work on academic tasks 96 , 97 . Self-efficacy also plays a key role in engaging in learning and perseverance in the face of difficulties 13 , 98 . In addition, working-class students are those for whom the fear of being outperformed by others is the most negatively related to academic performance 99 .

The fact that working-class children and students are less familiar with the tasks set by teachers, and less well equipped and supported, makes them more likely to experience feelings of incompetence (Fig. 1 ). Working-class parents are also more likely than their upper/middle-class counterparts to feel unable to help their children with schoolwork. Consistent with this, research has shown that both working-class students and parents have lower feelings of academic self-efficacy than their upper/middle-class counterparts 100 , 101 . These differences have been documented under ‘normal’ conditions but are likely to be exacerbated during distance learning. Recent surveys conducted during the school closures have confirmed that upper/middle-class families felt better able to support their children in distance learning than did working-class families 10 and that upper/middle-class parents helped their children more and felt more capable to do so 11 , 12 .

Pandemic disparity, future directions and recommendations

The research reviewed thus far suggests that children and their families are highly unequal with respect to digital access, skills and use. It also shows that upper/middle-class students are more likely to be supported in their homework (by their parents and teachers) than working-class students, and that upper/middle-class students and parents will probably feel better able than working-class ones to adapt to the context of distance learning. For all these reasons, we anticipate that as a result of school closures, the COVID-19 pandemic will substantially increase the social class achievement gap. Because school closures are a recent occurrence, it is too early to measure with precision their effects on the widening of the achievement gap. However, some recent data are consistent with this idea.

Evidence for a widening gap during the pandemic

Comparing academic achievement in 2020 with previous years provides an early indication of the effects of school closures during the pandemic. In France, for example, first and second graders take national evaluations at the beginning of the school year. Initial comparisons of the results for 2020 with those from previous years revealed that the gap between schools classified as ‘priority schools’ (those in low-income urban areas) and schools in higher-income neighbourhoods—a gap observed every year—was particularly pronounced in 2020 in both French and mathematics 102 .

Similarly, in the Netherlands, national assessments take place twice a year. In 2020, they took place both before and after school closures. A recent analysis compared progress during this period in 2020 in mathematics/arithmetic, spelling and reading comprehension for 7–11-year-old students within the same period in the three previous years 103 . Results indicated a general learning loss in 2020. More importantly, for the 8% of working-class children, the losses were 40% greater than they were for upper/middle-class children.

Similar results were observed in Belgium among students attending the final year of primary school. Compared with students from previous cohorts, students affected by school closures experienced a substantial decrease in their mathematics and language scores, with children from more disadvantaged backgrounds experiencing greater learning losses 104 . Likewise, oral reading assessments in more than 100 school districts in the United States showed that the development of this skill among children in second and third grade significantly slowed between Spring and Autumn 2020, but this slowdown was more pronounced in schools from lower-achieving districts 105 .

It is likely that school closures have also amplified racial disparities in learning and achievement. For example, in the United States, after the first lockdown, students of colour lost the equivalent of 3–5 months of learning, whereas white students were about 1–3 months behind. Moreover, in the Autumn, when some students started to return to classrooms, African-American and Latinx students were more likely to continue distance learning, despite being less likely to have access to the digital tools, Internet access and live contact with teachers 106 .

In some African countries (for example, Ethiopia, Kenya, Liberia, Tanzania and Uganda), the COVID-19 crisis has resulted in learning loss ranging from 6 months to more 1 year 107 , and this learning loss appears to be greater for working-class children (that is, those attending no-fee schools) than for upper/middle-class children 108 .

These findings show that school closures have exacerbated achievement gaps linked to social class and ethnicity. However, more research is needed to address the question of whether school closures differentially affect the learning of students from working- and upper/middle-class families.

Future directions

First, to assess the specific and unique impact of school closures on student learning, longitudinal research should compare student achievement at different times of the year, before, during and after school closures, as has been done to document the summer learning loss 66 , 109 . In the coming months, alternating periods of school closure and opening may occur, thereby presenting opportunities to do such research. This would also make it possible to examine whether the gap diminishes a few weeks after children return to in-school learning or whether, conversely, it increases with time because the foundations have not been sufficiently acquired to facilitate further learning 110 .

Second, the mechanisms underlying the increase in social class disparities during school closures should be examined. As discussed above, school closures result in situations for which students are unevenly prepared and supported. It would be appropriate to seek to quantify the contribution of each of the factors that might be responsible for accentuating the social class achievement gap. In particular, distinguishing between factors that are relatively ‘controllable’ (for example, resources made available to pupils) and those that are more difficult to control (for example, the self-efficacy of parents in supporting the schoolwork of their children) is essential to inform public policy and teaching practices.

Third, existing studies are based on general comparisons and very few provide insights into the actual practices that took place in families during school closure and how these practices affected the achievement gap. For example, research has documented that parents from working-class backgrounds are likely to find it more difficult to help their children to complete homework and to provide constructive feedback 63 , 111 , something that could in turn have a negative impact on the continuity of learning of their children. In addition, it seems reasonable to assume that during lockdown, parents from upper/middle-class backgrounds encouraged their children to engage in practices that, even if not explicitly requested by teachers, would be beneficial to learning (for example, creative activities or reading). Identifying the practices that best predict the maintenance or decline of educational achievement during school closures would help identify levers for intervention.

Finally, it would be interesting to investigate teaching practices during school closures. The lockdown in the spring of 2020 was sudden and unexpected. Within a few days, teachers had to find a way to compensate for the school closure, which led to highly variable practices. Some teachers posted schoolwork on platforms, others sent it by email, some set work on a weekly basis while others set it day by day. Some teachers also set up live sessions in large or small groups, providing remote meetings for questions and support. There have also been variations in the type of feedback given to students, notably through the monitoring and correcting of work. Future studies should examine in more detail what practices schools and teachers used to compensate for the school closures and their effects on widening, maintaining or even reducing the gap, as has been done for certain specific literacy programmes 112 as well as specific instruction topics (for example, ecology and evolution 113 ).

Practical recommendations

We are aware of the debate about whether social science research on COVID-19 is suitable for making policy decisions 114 , and we draw attention to the fact that some of our recommendations (Table 1 ) are based on evidence from experiments or interventions carried out pre-COVID while others are more speculative. In any case, we emphasize that these suggestions should be viewed with caution and be tested in future research. Some of our recommendations could be implemented in the event of new school closures, others only when schools re-open. We also acknowledge that while these recommendations are intended for parents and teachers, their implementation largely depends on the adoption of structural policies. Importantly, given all the issues discussed above, we emphasize the importance of prioritizing, wherever possible, in-person learning over remote learning 115 and where this is not possible, of implementing strong policies to support distance learning, especially for disadvantaged families.

Where face-to face teaching is not possible and teachers are responsible for implementing distance learning, it will be important to make them aware of the factors that can exacerbate inequalities during lockdown and to provide them with guidance about practices that would reduce these inequalities. Thus, there is an urgent need for interventions aimed at making teachers aware of the impact of the social class of children and families on the following factors: (1) access to, familiarity with and use of digital devices; (2) familiarity with academic knowledge and skills; and (3) preparedness to work autonomously. Increasing awareness of the material, cultural and psychological barriers that working-class children and families face during lockdown should increase the quality and quantity of the support provided by teachers and thereby positively affect the achievements of working-class students.

In addition to increasing the awareness of teachers of these barriers, teachers should be encouraged to adjust the way they communicate with working-class families due to differences in self-construal compared with upper/middle-class families 77 . For example, questions about family (rather than personal) well-being would be congruent with interdependent self-construals. This should contribute to better communication and help keep a better track of the progress of students during distance learning.

It is also necessary to help teachers to engage in practices that have a chance of reducing inequalities 53 , 116 . Particularly important is that teachers and schools ensure that homework can be done by all children, for example, by setting up organizations that would help children whose parents are not in a position to monitor or assist with the homework of their children. Options include homework help groups and tutoring by teachers after class. When schools are open, the growing tendency to set homework through digital media should be resisted as far as possible given the evidence we have reviewed above. Moreover, previous research has underscored the importance of homework feedback provided by teachers, which is positively related to the amount of homework completed and predictive of academic performance 117 . Where homework is web-based, it has also been shown that feedback on web-based homework enhances the learning of students 118 . It therefore seems reasonable to predict that the social class achievement gap will increase more slowly (or even remain constant or be reversed) in schools that establish individualized monitoring of students, by means of regular calls and feedback on homework, compared with schools where the support provided to pupils is more generic.

Given that learning during lockdown has increasingly taken place in family settings, we believe that interventions involving the family are also likely to be effective 119 , 120 , 121 . Simply providing families with suitable material equipment may be insufficient. Families should be given training in the efficient use of digital technology and pedagogical support. This would increase the self-efficacy of parents and students, with positive consequences for achievement. Ideally, such training would be delivered in person to avoid problems arising from the digital divide. Where this is not possible, individualized online tutoring should be provided. For example, studies conducted during the lockdown in Botswana and Italy have shown that individual online tutoring directly targeting either parents or students in middle school has a positive impact on the achievement of students, particularly for working-class students 122 , 123 .

Interventions targeting families should also address the psychological barriers faced by working-class families and children. Some interventions have already been designed and been shown to be effective in reducing the social class achievement gap, particularly in mathematics and language 124 , 125 , 126 . For example, research showed that an intervention designed to train low-income parents in how to support the mathematical development of their pre-kindergarten children (including classes and access to a library of kits to use at home) increased the quality of support provided by the parents, with a corresponding impact on the development of mathematical knowledge of their children. Such interventions should be particularly beneficial in the context of school closure.

Beyond its impact on academic performance and inequalities, the COVID-19 crisis has shaken the economies of countries around the world, casting millions of families around the world into poverty 127 , 128 , 129 . As noted earlier, there has been a marked increase in economic inequalities, bringing with it all the psychological and social problems that such inequalities create 130 , 131 , especially for people who live in scarcity 132 . The increase in educational inequalities is just one facet of the many difficulties that working-class families will encounter in the coming years, but it is one that could seriously limit the chances of their children escaping from poverty by reducing their opportunities for upward mobility. In this context, it should be a priority to concentrate resources on the most deprived students. A large proportion of the poorest households do not own a computer and do not have personal access to the Internet, which has important consequences for distance learning. During school closures, it is therefore imperative to provide such families with adequate equipment and Internet service, as was done in some countries in spring 2020. Even if the provision of such equipment is not in itself sufficient, it is a necessary condition for ensuring pedagogical continuity during lockdown.

Finally, after prolonged periods of school closure, many students may not have acquired the skills needed to pursue their education. A possible consequence would be an increase in the number of students for whom teachers recommend class repetitions. Class repetitions are contentious. On the one hand, class repetition more frequently affects working-class children and is not efficient in terms of learning improvement 133 . On the other hand, accepting lower standards of academic achievement or even suspending the practice of repeating a class could lead to pupils pursuing their education without mastering the key abilities needed at higher grades. This could create difficulties in subsequent years and, in this sense, be counterproductive. We therefore believe that the most appropriate way to limit the damage of the pandemic would be to help children catch up rather than allowing them to continue without mastering the necessary skills. As is being done in some countries, systematic remedial courses (for example, summer learning programmes) should be organized and financially supported following periods of school closure, with priority given to pupils from working-class families. Such interventions have genuine potential in that research has shown that participation in remedial summer programmes is effective in reducing learning loss during the summer break 134 , 135 , 136 . For example, in one study 137 , 438 students from high-poverty schools were offered a multiyear summer school programme that included various pedagogical and enrichment activities (for example, science investigation and music) and were compared with a ‘no-treatment’ control group. Students who participated in the summer programme progressed more than students in the control group. A meta-analysis 138 of 41 summer learning programmes (that is, classroom- and home-based summer interventions) involving children from kindergarten to grade 8 showed that these programmes had significantly larger benefits for children from working-class families. Although such measures are costly, the cost is small compared to the price of failing to fulfil the academic potential of many students simply because they were not born into upper/middle-class families.

The unprecedented nature of the current pandemic means that we lack strong data on what the school closure period is likely to produce in terms of learning deficits and the reproduction of social inequalities. However, the research discussed in this article suggests that there are good reasons to predict that this period of school closures will accelerate the reproduction of social inequalities in educational achievement.

By making school learning less dependent on teachers and more dependent on families and digital tools and resources, school closures are likely to greatly amplify social class inequalities. At a time when many countries are experiencing second, third or fourth waves of the pandemic, resulting in fresh periods of local or general lockdowns, systematic efforts to test these predictions are urgently needed along with steps to reduce the impact of school closures on the social class achievement gap.

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We thank G. Reis for editing the figure. The writing of this manuscript was supported by grant ANR-19-CE28-0007–PRESCHOOL from the French National Research Agency (S.G.).

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Goudeau, S., Sanrey, C., Stanczak, A. et al. Why lockdown and distance learning during the COVID-19 pandemic are likely to increase the social class achievement gap. Nat Hum Behav 5 , 1273–1281 (2021). https://doi.org/10.1038/s41562-021-01212-7

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online learning experience during covid 19 essay brainly

The COVID-19 pandemic has changed education forever. This is how 

Anais, a student at the International Bilingual School (EIB), attends her online lessons in her bedroom in Paris as a lockdown is imposed to slow the rate of the coronavirus disease (COVID-19) spread in France, March 20, 2020. Picture taken on March 20, 2020. REUTERS/Gonzalo Fuentes - RC2SPF9G7MJ9

With schools shut across the world, millions of children have had to adapt to new types of learning. Image:  REUTERS/Gonzalo Fuentes

.chakra .wef-1c7l3mo{-webkit-transition:all 0.15s ease-out;transition:all 0.15s ease-out;cursor:pointer;-webkit-text-decoration:none;text-decoration:none;outline:none;color:inherit;}.chakra .wef-1c7l3mo:hover,.chakra .wef-1c7l3mo[data-hover]{-webkit-text-decoration:underline;text-decoration:underline;}.chakra .wef-1c7l3mo:focus,.chakra .wef-1c7l3mo[data-focus]{box-shadow:0 0 0 3px rgba(168,203,251,0.5);} Cathy Li

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.chakra .wef-9dduvl{margin-top:16px;margin-bottom:16px;line-height:1.388;font-size:1.25rem;}@media screen and (min-width:56.5rem){.chakra .wef-9dduvl{font-size:1.125rem;}} Explore and monitor how .chakra .wef-15eoq1r{margin-top:16px;margin-bottom:16px;line-height:1.388;font-size:1.25rem;color:#F7DB5E;}@media screen and (min-width:56.5rem){.chakra .wef-15eoq1r{font-size:1.125rem;}} Education, Gender and Work is affecting economies, industries and global issues

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  • The COVID-19 has resulted in schools shut all across the world. Globally, over 1.2 billion children are out of the classroom.
  • As a result, education has changed dramatically, with the distinctive rise of e-learning, whereby teaching is undertaken remotely and on digital platforms.
  • Research suggests that online learning has been shown to increase retention of information, and take less time, meaning the changes coronavirus have caused might be here to stay.

While countries are at different points in their COVID-19 infection rates, worldwide there are currently more than 1.2 billion children in 186 countries affected by school closures due to the pandemic. In Denmark, children up to the age of 11 are returning to nurseries and schools after initially closing on 12 March , but in South Korea students are responding to roll calls from their teachers online .

With this sudden shift away from the classroom in many parts of the globe, some are wondering whether the adoption of online learning will continue to persist post-pandemic, and how such a shift would impact the worldwide education market.

online learning experience during covid 19 essay brainly

Even before COVID-19, there was already high growth and adoption in education technology, with global edtech investments reaching US$18.66 billion in 2019 and the overall market for online education projected to reach $350 Billion by 2025 . Whether it is language apps , virtual tutoring , video conferencing tools, or online learning software , there has been a significant surge in usage since COVID-19.

How is the education sector responding to COVID-19?

In response to significant demand, many online learning platforms are offering free access to their services, including platforms like BYJU’S , a Bangalore-based educational technology and online tutoring firm founded in 2011, which is now the world’s most highly valued edtech company . Since announcing free live classes on its Think and Learn app, BYJU’s has seen a 200% increase in the number of new students using its product, according to Mrinal Mohit, the company's Chief Operating Officer.

Tencent classroom, meanwhile, has been used extensively since mid-February after the Chinese government instructed a quarter of a billion full-time students to resume their studies through online platforms. This resulted in the largest “online movement” in the history of education with approximately 730,000 , or 81% of K-12 students, attending classes via the Tencent K-12 Online School in Wuhan.

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Other companies are bolstering capabilities to provide a one-stop shop for teachers and students. For example, Lark, a Singapore-based collaboration suite initially developed by ByteDance as an internal tool to meet its own exponential growth, began offering teachers and students unlimited video conferencing time, auto-translation capabilities, real-time co-editing of project work, and smart calendar scheduling, amongst other features. To do so quickly and in a time of crisis, Lark ramped up its global server infrastructure and engineering capabilities to ensure reliable connectivity.

Alibaba’s distance learning solution, DingTalk, had to prepare for a similar influx: “To support large-scale remote work, the platform tapped Alibaba Cloud to deploy more than 100,000 new cloud servers in just two hours last month – setting a new record for rapid capacity expansion,” according to DingTalk CEO, Chen Hang.

Some school districts are forming unique partnerships, like the one between The Los Angeles Unified School District and PBS SoCal/KCET to offer local educational broadcasts, with separate channels focused on different ages, and a range of digital options. Media organizations such as the BBC are also powering virtual learning; Bitesize Daily , launched on 20 April, is offering 14 weeks of curriculum-based learning for kids across the UK with celebrities like Manchester City footballer Sergio Aguero teaching some of the content.

covid impact on education

What does this mean for the future of learning?

While some believe that the unplanned and rapid move to online learning – with no training, insufficient bandwidth, and little preparation – will result in a poor user experience that is unconducive to sustained growth, others believe that a new hybrid model of education will emerge, with significant benefits. “I believe that the integration of information technology in education will be further accelerated and that online education will eventually become an integral component of school education,“ says Wang Tao, Vice President of Tencent Cloud and Vice President of Tencent Education.

There have already been successful transitions amongst many universities. For example, Zhejiang University managed to get more than 5,000 courses online just two weeks into the transition using “DingTalk ZJU”. The Imperial College London started offering a course on the science of coronavirus, which is now the most enrolled class launched in 2020 on Coursera .

Many are already touting the benefits: Dr Amjad, a Professor at The University of Jordan who has been using Lark to teach his students says, “It has changed the way of teaching. It enables me to reach out to my students more efficiently and effectively through chat groups, video meetings, voting and also document sharing, especially during this pandemic. My students also find it is easier to communicate on Lark. I will stick to Lark even after coronavirus, I believe traditional offline learning and e-learning can go hand by hand."

These 3 charts show the global growth in online learning

The challenges of online learning.

There are, however, challenges to overcome. Some students without reliable internet access and/or technology struggle to participate in digital learning; this gap is seen across countries and between income brackets within countries. For example, whilst 95% of students in Switzerland, Norway, and Austria have a computer to use for their schoolwork, only 34% in Indonesia do, according to OECD data .

In the US, there is a significant gap between those from privileged and disadvantaged backgrounds: whilst virtually all 15-year-olds from a privileged background said they had a computer to work on, nearly 25% of those from disadvantaged backgrounds did not. While some schools and governments have been providing digital equipment to students in need, such as in New South Wales , Australia, many are still concerned that the pandemic will widenthe digital divide .

Is learning online as effective?

For those who do have access to the right technology, there is evidence that learning online can be more effective in a number of ways. Some research shows that on average, students retain 25-60% more material when learning online compared to only 8-10% in a classroom. This is mostly due to the students being able to learn faster online; e-learning requires 40-60% less time to learn than in a traditional classroom setting because students can learn at their own pace, going back and re-reading, skipping, or accelerating through concepts as they choose.

Nevertheless, the effectiveness of online learning varies amongst age groups. The general consensus on children, especially younger ones, is that a structured environment is required , because kids are more easily distracted. To get the full benefit of online learning, there needs to be a concerted effort to provide this structure and go beyond replicating a physical class/lecture through video capabilities, instead, using a range of collaboration tools and engagement methods that promote “inclusion, personalization and intelligence”, according to Dowson Tong, Senior Executive Vice President of Tencent and President of its Cloud and Smart Industries Group.

Since studies have shown that children extensively use their senses to learn, making learning fun and effective through use of technology is crucial, according to BYJU's Mrinal Mohit. “Over a period, we have observed that clever integration of games has demonstrated higher engagement and increased motivation towards learning especially among younger students, making them truly fall in love with learning”, he says.

A changing education imperative

It is clear that this pandemic has utterly disrupted an education system that many assert was already losing its relevance . In his book, 21 Lessons for the 21st Century , scholar Yuval Noah Harari outlines how schools continue to focus on traditional academic skills and rote learning , rather than on skills such as critical thinking and adaptability, which will be more important for success in the future. Could the move to online learning be the catalyst to create a new, more effective method of educating students? While some worry that the hasty nature of the transition online may have hindered this goal, others plan to make e-learning part of their ‘new normal’ after experiencing the benefits first-hand.

The importance of disseminating knowledge is highlighted through COVID-19

Major world events are often an inflection point for rapid innovation – a clear example is the rise of e-commerce post-SARS . While we have yet to see whether this will apply to e-learning post-COVID-19, it is one of the few sectors where investment has not dried up . What has been made clear through this pandemic is the importance of disseminating knowledge across borders, companies, and all parts of society. If online learning technology can play a role here, it is incumbent upon all of us to explore its full potential.

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COVID-19’s impacts on the scope, effectiveness, and interaction characteristics of online learning: A social network analysis

Roles Data curation, Formal analysis, Methodology, Writing – review & editing

¶ ‡ JZ and YD are contributed equally to this work as first authors.

Affiliation School of Educational Information Technology, South China Normal University, Guangzhou, Guangdong, China

Roles Data curation, Formal analysis, Methodology, Writing – original draft

Affiliations School of Educational Information Technology, South China Normal University, Guangzhou, Guangdong, China, Hangzhou Zhongce Vocational School Qiantang, Hangzhou, Zhejiang, China

Roles Data curation, Writing – original draft

Roles Data curation

Roles Writing – original draft

Affiliation Faculty of Education, Shenzhen University, Shenzhen, Guangdong, China

Roles Conceptualization, Supervision, Writing – review & editing

* E-mail: [email protected] (JH); [email protected] (YZ)

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  • Junyi Zhang, 
  • Yigang Ding, 
  • Xinru Yang, 
  • Jinping Zhong, 
  • XinXin Qiu, 
  • Zhishan Zou, 
  • Yujie Xu, 
  • Xiunan Jin, 
  • Xiaomin Wu, 

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  • Published: August 23, 2022
  • https://doi.org/10.1371/journal.pone.0273016
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Table 1

The COVID-19 outbreak brought online learning to the forefront of education. Scholars have conducted many studies on online learning during the pandemic, but only a few have performed quantitative comparative analyses of students’ online learning behavior before and after the outbreak. We collected review data from China’s massive open online course platform called icourse.163 and performed social network analysis on 15 courses to explore courses’ interaction characteristics before, during, and after the COVID-19 pan-demic. Specifically, we focused on the following aspects: (1) variations in the scale of online learning amid COVID-19; (2a) the characteristics of online learning interaction during the pandemic; (2b) the characteristics of online learning interaction after the pandemic; and (3) differences in the interaction characteristics of social science courses and natural science courses. Results revealed that only a small number of courses witnessed an uptick in online interaction, suggesting that the pandemic’s role in promoting the scale of courses was not significant. During the pandemic, online learning interaction became more frequent among course network members whose interaction scale increased. After the pandemic, although the scale of interaction declined, online learning interaction became more effective. The scale and level of interaction in Electrodynamics (a natural science course) and Economics (a social science course) both rose during the pan-demic. However, long after the pandemic, the Economics course sustained online interaction whereas interaction in the Electrodynamics course steadily declined. This discrepancy could be due to the unique characteristics of natural science courses and social science courses.

Citation: Zhang J, Ding Y, Yang X, Zhong J, Qiu X, Zou Z, et al. (2022) COVID-19’s impacts on the scope, effectiveness, and interaction characteristics of online learning: A social network analysis. PLoS ONE 17(8): e0273016. https://doi.org/10.1371/journal.pone.0273016

Editor: Heng Luo, Central China Normal University, CHINA

Received: April 20, 2022; Accepted: July 29, 2022; Published: August 23, 2022

Copyright: © 2022 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: The data underlying the results presented in the study were downloaded from https://www.icourse163.org/ and are now shared fully on Github ( https://github.com/zjyzhangjunyi/dataset-from-icourse163-for-SNA ). These data have no private information and can be used for academic research free of charge.

Funding: The author(s) received no specific funding for this work.

Competing interests: The authors have declared that no competing interests exist.

1. Introduction

The development of the mobile internet has spurred rapid advances in online learning, offering novel prospects for teaching and learning and a learning experience completely different from traditional instruction. Online learning harnesses the advantages of network technology and multimedia technology to transcend the boundaries of conventional education [ 1 ]. Online courses have become a popular learning mode owing to their flexibility and openness. During online learning, teachers and students are in different physical locations but interact in multiple ways (e.g., via online forum discussions and asynchronous group discussions). An analysis of online learning therefore calls for attention to students’ participation. Alqurashi [ 2 ] defined interaction in online learning as the process of constructing meaningful information and thought exchanges between more than two people; such interaction typically occurs between teachers and learners, learners and learners, and the course content and learners.

Massive open online courses (MOOCs), a 21st-century teaching mode, have greatly influenced global education. Data released by China’s Ministry of Education in 2020 show that the country ranks first globally in the number and scale of higher education MOOCs. The COVID-19 outbreak has further propelled this learning mode, with universities being urged to leverage MOOCs and other online resource platforms to respond to government’s “School’s Out, But Class’s On” policy [ 3 ]. Besides MOOCs, to reduce in-person gatherings and curb the spread of COVID-19, various online learning methods have since become ubiquitous [ 4 ]. Though Lederman asserted that the COVID-19 outbreak has positioned online learning technologies as the best way for teachers and students to obtain satisfactory learning experiences [ 5 ], it remains unclear whether the COVID-19 pandemic has encouraged interaction in online learning, as interactions between students and others play key roles in academic performance and largely determine the quality of learning experiences [ 6 ]. Similarly, it is also unclear what impact the COVID-19 pandemic has had on the scale of online learning.

Social constructivism paints learning as a social phenomenon. As such, analyzing the social structures or patterns that emerge during the learning process can shed light on learning-based interaction [ 7 ]. Social network analysis helps to explain how a social network, rooted in interactions between learners and their peers, guides individuals’ behavior, emotions, and outcomes. This analytical approach is especially useful for evaluating interactive relationships between network members [ 8 ]. Mohammed cited social network analysis (SNA) as a method that can provide timely information about students, learning communities and interactive networks. SNA has been applied in numerous fields, including education, to identify the number and characteristics of interelement relationships. For example, Lee et al. also used SNA to explore the effects of blogs on peer relationships [ 7 ]. Therefore, adopting SNA to examine interactions in online learning communities during the COVID-19 pandemic can uncover potential issues with this online learning model.

Taking China’s icourse.163 MOOC platform as an example, we chose 15 courses with a large number of participants for SNA, focusing on learners’ interaction characteristics before, during, and after the COVID-19 outbreak. We visually assessed changes in the scale of network interaction before, during, and after the outbreak along with the characteristics of interaction in Gephi. Examining students’ interactions in different courses revealed distinct interactive network characteristics, the pandemic’s impact on online courses, and relevant suggestions. Findings are expected to promote effective interaction and deep learning among students in addition to serving as a reference for the development of other online learning communities.

2. Literature review and research questions

Interaction is deemed as central to the educational experience and is a major focus of research on online learning. Moore began to study the problem of interaction in distance education as early as 1989. He defined three core types of interaction: student–teacher, student–content, and student–student [ 9 ]. Lear et al. [ 10 ] described an interactivity/ community-process model of distance education: they specifically discussed the relationships between interactivity, community awareness, and engaging learners and found interactivity and community awareness to be correlated with learner engagement. Zulfikar et al. [ 11 ] suggested that discussions initiated by the students encourage more students’ engagement than discussions initiated by the instructors. It is most important to afford learners opportunities to interact purposefully with teachers, and improving the quality of learner interaction is crucial to fostering profound learning [ 12 ]. Interaction is an important way for learners to communicate and share information, and a key factor in the quality of online learning [ 13 ].

Timely feedback is the main component of online learning interaction. Woo and Reeves discovered that students often become frustrated when they fail to receive prompt feedback [ 14 ]. Shelley et al. conducted a three-year study of graduate and undergraduate students’ satisfaction with online learning at universities and found that interaction with educators and students is the main factor affecting satisfaction [ 15 ]. Teachers therefore need to provide students with scoring justification, support, and constructive criticism during online learning. Some researchers examined online learning during the COVID-19 pandemic. They found that most students preferred face-to-face learning rather than online learning due to obstacles faced online, such as a lack of motivation, limited teacher-student interaction, and a sense of isolation when learning in different times and spaces [ 16 , 17 ]. However, it can be reduced by enhancing the online interaction between teachers and students [ 18 ].

Research showed that interactions contributed to maintaining students’ motivation to continue learning [ 19 ]. Baber argued that interaction played a key role in students’ academic performance and influenced the quality of the online learning experience [ 20 ]. Hodges et al. maintained that well-designed online instruction can lead to unique teaching experiences [ 21 ]. Banna et al. mentioned that using discussion boards, chat sessions, blogs, wikis, and other tools could promote student interaction and improve participation in online courses [ 22 ]. During the COVID-19 pandemic, Mahmood proposed a series of teaching strategies suitable for distance learning to improve its effectiveness [ 23 ]. Lapitan et al. devised an online strategy to ease the transition from traditional face-to-face instruction to online learning [ 24 ]. The preceding discussion suggests that online learning goes beyond simply providing learning resources; teachers should ideally design real-life activities to give learners more opportunities to participate.

As mentioned, COVID-19 has driven many scholars to explore the online learning environment. However, most have ignored the uniqueness of online learning during this time and have rarely compared pre- and post-pandemic online learning interaction. Taking China’s icourse.163 MOOC platform as an example, we chose 15 courses with a large number of participants for SNA, centering on student interaction before and after the pandemic. Gephi was used to visually analyze changes in the scale and characteristics of network interaction. The following questions were of particular interest:

  • (1) Can the COVID-19 pandemic promote the expansion of online learning?
  • (2a) What are the characteristics of online learning interaction during the pandemic?
  • (2b) What are the characteristics of online learning interaction after the pandemic?
  • (3) How do interaction characteristics differ between social science courses and natural science courses?

3. Methodology

3.1 research context.

We selected several courses with a large number of participants and extensive online interaction among hundreds of courses on the icourse.163 MOOC platform. These courses had been offered on the platform for at least three semesters, covering three periods (i.e., before, during, and after the COVID-19 outbreak). To eliminate the effects of shifts in irrelevant variables (e.g., course teaching activities), we chose several courses with similar teaching activities and compared them on multiple dimensions. All course content was taught online. The teachers of each course posted discussion threads related to learning topics; students were expected to reply via comments. Learners could exchange ideas freely in their responses in addition to asking questions and sharing their learning experiences. Teachers could answer students’ questions as well. Conversations in the comment area could partly compensate for a relative absence of online classroom interaction. Teacher–student interaction is conducive to the formation of a social network structure and enabled us to examine teachers’ and students’ learning behavior through SNA. The comment areas in these courses were intended for learners to construct knowledge via reciprocal communication. Meanwhile, by answering students’ questions, teachers could encourage them to reflect on their learning progress. These courses’ successive terms also spanned several phases of COVID-19, allowing us to ascertain the pandemic’s impact on online learning.

3.2 Data collection and preprocessing

To avoid interference from invalid or unclear data, the following criteria were applied to select representative courses: (1) generality (i.e., public courses and professional courses were chosen from different schools across China); (2) time validity (i.e., courses were held before during, and after the pandemic); and (3) notability (i.e., each course had at least 2,000 participants). We ultimately chose 15 courses across the social sciences and natural sciences (see Table 1 ). The coding is used to represent the course name.

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https://doi.org/10.1371/journal.pone.0273016.t001

To discern courses’ evolution during the pandemic, we gathered data on three terms before, during, and after the COVID-19 outbreak in addition to obtaining data from two terms completed well before the pandemic and long after. Our final dataset comprised five sets of interactive data. Finally, we collected about 120,000 comments for SNA. Because each course had a different start time—in line with fluctuations in the number of confirmed COVID-19 cases in China and the opening dates of most colleges and universities—we divided our sample into five phases: well before the pandemic (Phase I); before the pandemic (Phase Ⅱ); during the pandemic (Phase Ⅲ); after the pandemic (Phase Ⅳ); and long after the pandemic (Phase Ⅴ). We sought to preserve consistent time spans to balance the amount of data in each period ( Fig 1 ).

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https://doi.org/10.1371/journal.pone.0273016.g001

3.3 Instrumentation

Participants’ comments and “thumbs-up” behavior data were converted into a network structure and compared using social network analysis (SNA). Network analysis, according to M’Chirgui, is an effective tool for clarifying network relationships by employing sophisticated techniques [ 25 ]. Specifically, SNA can help explain the underlying relationships among team members and provide a better understanding of their internal processes. Yang and Tang used SNA to discuss the relationship between team structure and team performance [ 26 ]. Golbeck argued that SNA could improve the understanding of students’ learning processes and reveal learners’ and teachers’ role dynamics [ 27 ].

To analyze Question (1), the number of nodes and diameter in the generated network were deemed as indicators of changes in network size. Social networks are typically represented as graphs with nodes and degrees, and node count indicates the sample size [ 15 ]. Wellman et al. proposed that the larger the network scale, the greater the number of network members providing emotional support, goods, services, and companionship [ 28 ]. Jan’s study measured the network size by counting the nodes which represented students, lecturers, and tutors [ 29 ]. Similarly, network nodes in the present study indicated how many learners and teachers participated in the course, with more nodes indicating more participants. Furthermore, we investigated the network diameter, a structural feature of social networks, which is a common metric for measuring network size in SNA [ 30 ]. The network diameter refers to the longest path between any two nodes in the network. There has been evidence that a larger network diameter leads to greater spread of behavior [ 31 ]. Likewise, Gašević et al. found that larger networks were more likely to spread innovative ideas about educational technology when analyzing MOOC-related research citations [ 32 ]. Therefore, we employed node count and network diameter to measure the network’s spatial size and further explore the expansion characteristic of online courses. Brief introduction of these indicators can be summarized in Table 2 .

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https://doi.org/10.1371/journal.pone.0273016.t002

To address Question (2), a list of interactive analysis metrics in SNA were introduced to scrutinize learners’ interaction characteristics in online learning during and after the pandemic, as shown below:

  • (1) The average degree reflects the density of the network by calculating the average number of connections for each node. As Rong and Xu suggested, the average degree of a network indicates how active its participants are [ 33 ]. According to Hu, a higher average degree implies that more students are interacting directly with each other in a learning context [ 34 ]. The present study inherited the concept of the average degree from these previous studies: the higher the average degree, the more frequent the interaction between individuals in the network.
  • (2) Essentially, a weighted average degree in a network is calculated by multiplying each degree by its respective weight, and then taking the average. Bydžovská took the strength of the relationship into account when determining the weighted average degree [ 35 ]. By calculating friendship’s weighted value, Maroulis assessed peer achievement within a small-school reform [ 36 ]. Accordingly, we considered the number of interactions as the weight of the degree, with a higher average degree indicating more active interaction among learners.
  • (3) Network density is the ratio between actual connections and potential connections in a network. The more connections group members have with each other, the higher the network density. In SNA, network density is similar to group cohesion, i.e., a network of more strong relationships is more cohesive [ 37 ]. Network density also reflects how much all members are connected together [ 38 ]. Therefore, we adopted network density to indicate the closeness among network members. Higher network density indicates more frequent interaction and closer communication among students.
  • (4) Clustering coefficient describes local network attributes and indicates that two nodes in the network could be connected through adjacent nodes. The clustering coefficient measures users’ tendency to gather (cluster) with others in the network: the higher the clustering coefficient, the more frequently users communicate with other group members. We regarded this indicator as a reflection of the cohesiveness of the group [ 39 ].
  • (5) In a network, the average path length is the average number of steps along the shortest paths between any two nodes. Oliveres has observed that when an average path length is small, the route from one node to another is shorter when graphed [ 40 ]. This is especially true in educational settings where students tend to become closer friends. So we consider that the smaller the average path length, the greater the possibility of interaction between individuals in the network.
  • (6) A network with a large number of nodes, but whose average path length is surprisingly small, is known as the small-world effect [ 41 ]. A higher clustering coefficient and shorter average path length are important indicators of a small-world network: a shorter average path length enables the network to spread information faster and more accurately; a higher clustering coefficient can promote frequent knowledge exchange within the group while boosting the timeliness and accuracy of knowledge dissemination [ 42 ]. Brief introduction of these indicators can be summarized in Table 3 .

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https://doi.org/10.1371/journal.pone.0273016.t003

To analyze Question 3, we used the concept of closeness centrality, which determines how close a vertex is to others in the network. As Opsahl et al. explained, closeness centrality reveals how closely actors are coupled with their entire social network [ 43 ]. In order to analyze social network-based engineering education, Putnik et al. examined closeness centrality and found that it was significantly correlated with grades [ 38 ]. We used closeness centrality to measure the position of an individual in the network. Brief introduction of these indicators can be summarized in Table 4 .

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https://doi.org/10.1371/journal.pone.0273016.t004

3.4 Ethics statement

This study was approved by the Academic Committee Office (ACO) of South China Normal University ( http://fzghb.scnu.edu.cn/ ), Guangzhou, China. Research data were collected from the open platform and analyzed anonymously. There are thus no privacy issues involved in this study.

4.1 COVID-19’s role in promoting the scale of online courses was not as important as expected

As shown in Fig 2 , the number of course participants and nodes are closely correlated with the pandemic’s trajectory. Because the number of participants in each course varied widely, we normalized the number of participants and nodes to more conveniently visualize course trends. Fig 2 depicts changes in the chosen courses’ number of participants and nodes before the pandemic (Phase II), during the pandemic (Phase III), and after the pandemic (Phase IV). The number of participants in most courses during the pandemic exceeded those before and after the pandemic. But the number of people who participate in interaction in some courses did not increase.

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https://doi.org/10.1371/journal.pone.0273016.g002

In order to better analyze the trend of interaction scale in online courses before, during, and after the pandemic, the selected courses were categorized according to their scale change. When the number of participants increased (decreased) beyond 20% (statistical experience) and the diameter also increased (decreased), the course scale was determined to have increased (decreased); otherwise, no significant change was identified in the course’s interaction scale. Courses were subsequently divided into three categories: increased interaction scale, decreased interaction scale, and no significant change. Results appear in Table 5 .

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https://doi.org/10.1371/journal.pone.0273016.t005

From before the pandemic until it broke out, the interaction scale of five courses increased, accounting for 33.3% of the full sample; one course’s interaction scale declined, accounting for 6.7%. The interaction scale of nine courses decreased, accounting for 60%. The pandemic’s role in promoting online courses thus was not as important as anticipated, and most courses’ interaction scale did not change significantly throughout.

No courses displayed growing interaction scale after the pandemic: the interaction scale of nine courses fell, accounting for 60%; and the interaction scale of six courses did not shift significantly, accounting for 40%. Courses with an increased scale of interaction during the pandemic did not maintain an upward trend. On the contrary, the improvement in the pandemic caused learners’ enthusiasm for online learning to wane. We next analyzed several interaction metrics to further explore course interaction during different pandemic periods.

4.2 Characteristics of online learning interaction amid COVID-19

4.2.1 during the covid-19 pandemic, online learning interaction in some courses became more active..

Changes in course indicators with the growing interaction scale during the pandemic are presented in Fig 3 , including SS5, SS6, NS1, NS3, and NS8. The horizontal ordinate indicates the number of courses, with red color representing the rise of the indicator value on the vertical ordinate and blue representing the decline.

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https://doi.org/10.1371/journal.pone.0273016.g003

Specifically: (1) The average degree and weighted average degree of the five course networks demonstrated an upward trend. The emergence of the pandemic promoted students’ enthusiasm; learners were more active in the interactive network. (2) Fig 3 shows that 3 courses had increased network density and 2 courses had decreased. The higher the network density, the more communication within the team. Even though the pandemic accelerated the interaction scale and frequency, the tightness between learners in some courses did not improve. (3) The clustering coefficient of social science courses rose whereas the clustering coefficient and small-world property of natural science courses fell. The higher the clustering coefficient and the small-world property, the better the relationship between adjacent nodes and the higher the cohesion [ 39 ]. (4) Most courses’ average path length increased as the interaction scale increased. However, when the average path length grew, adverse effects could manifest: communication between learners might be limited to a small group without multi-directional interaction.

When the pandemic emerged, the only declining network scale belonged to a natural science course (NS2). The change in each course index is pictured in Fig 4 . The abscissa indicates the size of the value, with larger values to the right. The red dot indicates the index value before the pandemic; the blue dot indicates its value during the pandemic. If the blue dot is to the right of the red dot, then the value of the index increased; otherwise, the index value declined. Only the weighted average degree of the course network increased. The average degree, network density decreased, indicating that network members were not active and that learners’ interaction degree and communication frequency lessened. Despite reduced learner interaction, the average path length was small and the connectivity between learners was adequate.

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https://doi.org/10.1371/journal.pone.0273016.g004

4.2.2 After the COVID-19 pandemic, the scale decreased rapidly, but most course interaction was more effective.

Fig 5 shows the changes in various courses’ interaction indicators after the pandemic, including SS1, SS2, SS3, SS6, SS7, NS2, NS3, NS7, and NS8.

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https://doi.org/10.1371/journal.pone.0273016.g005

Specifically: (1) The average degree and weighted average degree of most course networks decreased. The scope and intensity of interaction among network members declined rapidly, as did learners’ enthusiasm for communication. (2) The network density of seven courses also fell, indicating weaker connections between learners in most courses. (3) In addition, the clustering coefficient and small-world property of most course networks decreased, suggesting little possibility of small groups in the network. The scope of interaction between learners was not limited to a specific space, and the interaction objects had no significant tendencies. (4) Although the scale of course interaction became smaller in this phase, the average path length of members’ social networks shortened in nine courses. Its shorter average path length would expedite the spread of information within the network as well as communication and sharing among network members.

Fig 6 displays the evolution of course interaction indicators without significant changes in interaction scale after the pandemic, including SS4, SS5, NS1, NS4, NS5, and NS6.

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https://doi.org/10.1371/journal.pone.0273016.g006

Specifically: (1) Some course members’ social networks exhibited an increase in the average and weighted average. In these cases, even though the course network’s scale did not continue to increase, communication among network members rose and interaction became more frequent and deeper than before. (2) Network density and average path length are indicators of social network density. The greater the network density, the denser the social network; the shorter the average path length, the more concentrated the communication among network members. However, at this phase, the average path length and network density in most courses had increased. Yet the network density remained small despite having risen ( Table 6 ). Even with more frequent learner interaction, connections remained distant and the social network was comparatively sparse.

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https://doi.org/10.1371/journal.pone.0273016.t006

In summary, the scale of interaction did not change significantly overall. Nonetheless, some course members’ frequency and extent of interaction increased, and the relationships between network members became closer as well. In the study, we found it interesting that the interaction scale of Economics (a social science course) course and Electrodynamics (a natural science course) course expanded rapidly during the pandemic and retained their interaction scale thereafter. We next assessed these two courses to determine whether their level of interaction persisted after the pandemic.

4.3 Analyses of natural science courses and social science courses

4.3.1 analyses of the interaction characteristics of economics and electrodynamics..

Economics and Electrodynamics are social science courses and natural science courses, respectively. Members’ interaction within these courses was similar: the interaction scale increased significantly when COVID-19 broke out (Phase Ⅲ), and no significant changes emerged after the pandemic (Phase Ⅴ). We hence focused on course interaction long after the outbreak (Phase V) and compared changes across multiple indicators, as listed in Table 7 .

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https://doi.org/10.1371/journal.pone.0273016.t007

As the pandemic continued to improve, the number of participants and the diameter long after the outbreak (Phase V) each declined for Economics compared with after the pandemic (Phase IV). The interaction scale decreased, but the interaction between learners was much deeper. Specifically: (1) The weighted average degree, network density, clustering coefficient, and small-world property each reflected upward trends. The pandemic therefore exerted a strong impact on this course. Interaction was well maintained even after the pandemic. The smaller network scale promoted members’ interaction and communication. (2) Compared with after the pandemic (Phase IV), members’ network density increased significantly, showing that relationships between learners were closer and that cohesion was improving. (3) At the same time, as the clustering coefficient and small-world property grew, network members demonstrated strong small-group characteristics: the communication between them was deepening and their enthusiasm for interaction was higher. (4) Long after the COVID-19 outbreak (Phase V), the average path length was reduced compared with previous terms, knowledge flowed more quickly among network members, and the degree of interaction gradually deepened.

The average degree, weighted average degree, network density, clustering coefficient, and small-world property of Electrodynamics all decreased long after the COVID-19 outbreak (Phase V) and were lower than during the outbreak (Phase Ⅲ). The level of learner interaction therefore gradually declined long after the outbreak (Phase V), and connections between learners were no longer active. Although the pandemic increased course members’ extent of interaction, this rise was merely temporary: students’ enthusiasm for learning waned rapidly and their interaction decreased after the pandemic (Phase IV). To further analyze the interaction characteristics of course members in Economics and Electrodynamics, we evaluated the closeness centrality of their social networks, as shown in section 4.3.2.

4.3.2 Analysis of the closeness centrality of Economics and Electrodynamics.

The change in the closeness centrality of social networks in Economics was small, and no sharp upward trend appeared during the pandemic outbreak, as shown in Fig 7 . The emergence of COVID-19 apparently fostered learners’ interaction in Economics albeit without a significant impact. The closeness centrality changed in Electrodynamics varied from that of Economics: upon the COVID-19 outbreak, closeness centrality was significantly different from other semesters. Communication between learners was closer and interaction was more effective. Electrodynamics course members’ social network proximity decreased rapidly after the pandemic. Learners’ communication lessened. In general, Economics course showed better interaction before the outbreak and was less affected by the pandemic; Electrodynamics course was more affected by the pandemic and showed different interaction characteristics at different periods of the pandemic.

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(Note: "****" indicates the significant distinction in closeness centrality between the two periods, otherwise no significant distinction).

https://doi.org/10.1371/journal.pone.0273016.g007

5. Discussion

We referred to discussion forums from several courses on the icourse.163 MOOC platform to compare online learning before, during, and after the COVID-19 pandemic via SNA and to delineate the pandemic’s effects on online courses. Only 33.3% of courses in our sample increased in terms of interaction during the pandemic; the scale of interaction did not rise in any courses thereafter. When the courses scale rose, the scope and frequency of interaction showed upward trends during the pandemic; and the clustering coefficient of natural science courses and social science courses differed: the coefficient for social science courses tended to rise whereas that for natural science courses generally declined. When the pandemic broke out, the interaction scale of a single natural science course decreased along with its interaction scope and frequency. The amount of interaction in most courses shrank rapidly during the pandemic and network members were not as active as they had been before. However, after the pandemic, some courses saw declining interaction but greater communication between members; interaction also became more frequent and deeper than before.

5.1 During the COVID-19 pandemic, the scale of interaction increased in only a few courses

The pandemic outbreak led to a rapid increase in the number of participants in most courses; however, the change in network scale was not significant. The scale of online interaction expanded swiftly in only a few courses; in others, the scale either did not change significantly or displayed a downward trend. After the pandemic, the interaction scale in most courses decreased quickly; the same pattern applied to communication between network members. Learners’ enthusiasm for online interaction reduced as the circumstances of the pandemic improved—potentially because, during the pandemic, China’s Ministry of Education declared “School’s Out, But Class’s On” policy. Major colleges and universities were encouraged to use the Internet and informational resources to provide learning support, hence the sudden increase in the number of participants and interaction in online courses [ 46 ]. After the pandemic, students’ enthusiasm for online learning gradually weakened, presumably due to easing of the pandemic [ 47 ]. More activities also transitioned from online to offline, which tempered learners’ online discussion. Research has shown that long-term online learning can even bore students [ 48 ].

Most courses’ interaction scale decreased significantly after the pandemic. First, teachers and students occupied separate spaces during the outbreak, had few opportunities for mutual cooperation and friendship, and lacked a sense of belonging [ 49 ]. Students’ enthusiasm for learning dissipated over time [ 50 ]. Second, some teachers were especially concerned about adapting in-person instructional materials for digital platforms; their pedagogical methods were ineffective, and they did not provide learning activities germane to student interaction [ 51 ]. Third, although teachers and students in remote areas were actively engaged in online learning, some students could not continue to participate in distance learning due to inadequate technology later in the outbreak [ 52 ].

5.2 Characteristics of online learning interaction during and after the COVID-19 pandemic

5.2.1 during the covid-19 pandemic, online interaction in most courses did not change significantly..

The interaction scale of only a few courses increased during the pandemic. The interaction scope and frequency of these courses climbed as well. Yet even as the degree of network interaction rose, course network density did not expand in all cases. The pandemic sparked a surge in the number of online learners and a rapid increase in network scale, but students found it difficult to interact with all learners. Yau pointed out that a greater network scale did not enrich the range of interaction between individuals; rather, the number of individuals who could interact directly was limited [ 53 ]. The internet facilitates interpersonal communication. However, not everyone has the time or ability to establish close ties with others [ 54 ].

In addition, social science courses and natural science courses in our sample revealed disparate trends in this regard: the clustering coefficient of social science courses increased and that of natural science courses decreased. Social science courses usually employ learning approaches distinct from those in natural science courses [ 55 ]. Social science courses emphasize critical and innovative thinking along with personal expression [ 56 ]. Natural science courses focus on practical skills, methods, and principles [ 57 ]. Therefore, the content of social science courses can spur large-scale discussion among learners. Some course evaluations indicated that the course content design was suboptimal as well: teachers paid close attention to knowledge transmission and much less to piquing students’ interest in learning. In addition, the thread topics that teachers posted were scarcely diversified and teachers’ questions lacked openness. These attributes could not spark active discussion among learners.

5.2.2 Online learning interaction declined after the COVID-19 pandemic.

Most courses’ interaction scale and intensity decreased rapidly after the pandemic, but some did not change. Courses with a larger network scale did not continue to expand after the outbreak, and students’ enthusiasm for learning paled. The pandemic’s reduced severity also influenced the number of participants in online courses. Meanwhile, restored school order moved many learning activities from virtual to in-person spaces. Face-to-face learning has gradually replaced online learning, resulting in lower enrollment and less interaction in online courses. Prolonged online courses could have also led students to feel lonely and to lack a sense of belonging [ 58 ].

The scale of interaction in some courses did not change substantially after the pandemic yet learners’ connections became tighter. We hence recommend that teachers seize pandemic-related opportunities to design suitable activities. Additionally, instructors should promote student-teacher and student-student interaction, encourage students to actively participate online, and generally intensify the impact of online learning.

5.3 What are the characteristics of interaction in social science courses and natural science courses?

The level of interaction in Economics (a social science course) was significantly higher than that in Electrodynamics (a natural science course), and the small-world property in Economics increased as well. To boost online courses’ learning-related impacts, teachers can divide groups of learners based on the clustering coefficient and the average path length. Small groups of students may benefit teachers in several ways: to participate actively in activities intended to expand students’ knowledge, and to serve as key actors in these small groups. Cultivating students’ keenness to participate in class activities and self-management can also help teachers guide learner interaction and foster deep knowledge construction.

As evidenced by comments posted in the Electrodynamics course, we observed less interaction between students. Teachers also rarely urged students to contribute to conversations. These trends may have arisen because teachers and students were in different spaces. Teachers might have struggled to discern students’ interaction status. Teachers could also have failed to intervene in time, to design online learning activities that piqued learners’ interest, and to employ sound interactive theme planning and guidance. Teachers are often active in traditional classroom settings. Their roles are comparatively weakened online, such that they possess less control over instruction [ 59 ]. Online instruction also requires a stronger hand in learning: teachers should play a leading role in regulating network members’ interactive communication [ 60 ]. Teachers can guide learners to participate, help learners establish social networks, and heighten students’ interest in learning [ 61 ]. Teachers should attend to core members in online learning while also considering edge members; by doing so, all network members can be driven to share their knowledge and become more engaged. Finally, teachers and assistant teachers should help learners develop knowledge, exchange topic-related ideas, pose relevant questions during course discussions, and craft activities that enable learners to interact online [ 62 ]. These tactics can improve the effectiveness of online learning.

As described, network members displayed distinct interaction behavior in Economics and Electrodynamics courses. First, these courses varied in their difficulty: the social science course seemed easier to understand and focused on divergent thinking. Learners were often willing to express their views in comments and to ponder others’ perspectives [ 63 ]. The natural science course seemed more demanding and was oriented around logical thinking and skills [ 64 ]. Second, courses’ content differed. In general, social science courses favor the acquisition of declarative knowledge and creative knowledge compared with natural science courses. Social science courses also entertain open questions [ 65 ]. Natural science courses revolve around principle knowledge, strategic knowledge, and transfer knowledge [ 66 ]. Problems in these courses are normally more complicated than those in social science courses. Third, the indicators affecting students’ attitudes toward learning were unique. Guo et al. discovered that “teacher feedback” most strongly influenced students’ attitudes towards learning social science courses but had less impact on students in natural science courses [ 67 ]. Therefore, learners in social science courses likely expect more feedback from teachers and greater interaction with others.

6. Conclusion and future work

Our findings show that the network interaction scale of some online courses expanded during the COVID-19 pandemic. The network scale of most courses did not change significantly, demonstrating that the pandemic did not notably alter the scale of course interaction. Online learning interaction among course network members whose interaction scale increased also became more frequent during the pandemic. Once the outbreak was under control, although the scale of interaction declined, the level and scope of some courses’ interactive networks continued to rise; interaction was thus particularly effective in these cases. Overall, the pandemic appeared to have a relatively positive impact on online learning interaction. We considered a pair of courses in detail and found that Economics (a social science course) fared much better than Electrodynamics (a natural science course) in classroom interaction; learners were more willing to partake in-class activities, perhaps due to these courses’ unique characteristics. Brint et al. also came to similar conclusions [ 57 ].

This study was intended to be rigorous. Even so, several constraints can be addressed in future work. The first limitation involves our sample: we focused on a select set of courses hosted on China’s icourse.163 MOOC platform. Future studies should involve an expansive collection of courses to provide a more holistic understanding of how the pandemic has influenced online interaction. Second, we only explored the interactive relationship between learners and did not analyze interactive content. More in-depth content analysis should be carried out in subsequent research. All in all, the emergence of COVID-19 has provided a new path for online learning and has reshaped the distance learning landscape. To cope with associated challenges, educational practitioners will need to continue innovating in online instructional design, strengthen related pedagogy, optimize online learning conditions, and bolster teachers’ and students’ competence in online learning.

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What we know about online learning and the homework gap amid the pandemic

A sixth grader completes his homework online in his family's living room in Boston on March 31, 2020.

America’s K-12 students are returning to classrooms this fall after 18 months of virtual learning at home during the COVID-19 pandemic. Some students who lacked the home internet connectivity needed to finish schoolwork during this time – an experience often called the “ homework gap ” – may continue to feel the effects this school year.

Here is what Pew Research Center surveys found about the students most likely to be affected by the homework gap and their experiences learning from home.

Children across the United States are returning to physical classrooms this fall after 18 months at home, raising questions about how digital disparities at home will affect the existing homework gap between certain groups of students.

Methodology for each Pew Research Center poll can be found at the links in the post.

With the exception of the 2018 survey, everyone who took part in the surveys is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. This way nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other categories. Read more about the  ATP’s methodology .

The 2018 data on U.S. teens comes from a Center poll of 743 U.S. teens ages 13 to 17 conducted March 7 to April 10, 2018, using the NORC AmeriSpeak panel. AmeriSpeak is a nationally representative, probability-based panel of the U.S. household population. Randomly selected U.S. households are sampled with a known, nonzero probability of selection from the NORC National Frame, and then contacted by U.S. mail, telephone or face-to-face interviewers. Read more details about the NORC AmeriSpeak panel methodology .

Around nine-in-ten U.S. parents with K-12 children at home (93%) said their children have had some online instruction since the coronavirus outbreak began in February 2020, and 30% of these parents said it has been very or somewhat difficult for them to help their children use technology or the internet as an educational tool, according to an April 2021 Pew Research Center survey .

A bar chart showing that mothers and parents with lower incomes are more likely than fathers and those with higher incomes to have trouble helping their children with tech for online learning

Gaps existed for certain groups of parents. For example, parents with lower and middle incomes (36% and 29%, respectively) were more likely to report that this was very or somewhat difficult, compared with just 18% of parents with higher incomes.

This challenge was also prevalent for parents in certain types of communities – 39% of rural residents and 33% of urban residents said they have had at least some difficulty, compared with 23% of suburban residents.

Around a third of parents with children whose schools were closed during the pandemic (34%) said that their child encountered at least one technology-related obstacle to completing their schoolwork during that time. In the April 2021 survey, the Center asked parents of K-12 children whose schools had closed at some point about whether their children had faced three technology-related obstacles. Around a quarter of parents (27%) said their children had to do schoolwork on a cellphone, 16% said their child was unable to complete schoolwork because of a lack of computer access at home, and another 14% said their child had to use public Wi-Fi to finish schoolwork because there was no reliable connection at home.

Parents with lower incomes whose children’s schools closed amid COVID-19 were more likely to say their children faced technology-related obstacles while learning from home. Nearly half of these parents (46%) said their child faced at least one of the three obstacles to learning asked about in the survey, compared with 31% of parents with midrange incomes and 18% of parents with higher incomes.

A chart showing that parents with lower incomes are more likely than parents with higher incomes to say their children have faced tech-related schoolwork challenges in the pandemic

Of the three obstacles asked about in the survey, parents with lower incomes were most likely to say that their child had to do their schoolwork on a cellphone (37%). About a quarter said their child was unable to complete their schoolwork because they did not have computer access at home (25%), or that they had to use public Wi-Fi because they did not have a reliable internet connection at home (23%).

A Center survey conducted in April 2020 found that, at that time, 59% of parents with lower incomes who had children engaged in remote learning said their children would likely face at least one of the obstacles asked about in the 2021 survey.

A year into the outbreak, an increasing share of U.S. adults said that K-12 schools have a responsibility to provide all students with laptop or tablet computers in order to help them complete their schoolwork at home during the pandemic. About half of all adults (49%) said this in the spring 2021 survey, up 12 percentage points from a year earlier. An additional 37% of adults said that schools should provide these resources only to students whose families cannot afford them, and just 13% said schools do not have this responsibility.

A bar chart showing that roughly half of adults say schools have responsibility to provide technology to all students during pandemic

While larger shares of both political parties in April 2021 said K-12 schools have a responsibility to provide computers to all students in order to help them complete schoolwork at home, there was a 15-point change among Republicans: 43% of Republicans and those who lean to the Republican Party said K-12 schools have this responsibility, compared with 28% last April. In the 2021 survey, 22% of Republicans also said schools do not have this responsibility at all, compared with 6% of Democrats and Democratic leaners.

Even before the pandemic, Black teens and those living in lower-income households were more likely than other groups to report trouble completing homework assignments because they did not have reliable technology access. Nearly one-in-five teens ages 13 to 17 (17%) said they are often or sometimes unable to complete homework assignments because they do not have reliable access to a computer or internet connection, a 2018 Center survey of U.S. teens found.

A bar chart showing that in 2018, Black teens and those from lower-income households were especially likely to be impacted by the digital 'homework gap'

One-quarter of Black teens said they were at least sometimes unable to complete their homework due to a lack of digital access, including 13% who said this happened to them often. Just 4% of White teens and 6% of Hispanic teens said this often happened to them. (There were not enough Asian respondents in the survey sample to be broken out into a separate analysis.)

A wide gap also existed by income level: 24% of teens whose annual family income was less than $30,000 said the lack of a dependable computer or internet connection often or sometimes prohibited them from finishing their homework, but that share dropped to 9% among teens who lived in households earning $75,000 or more a year.

  • Coronavirus (COVID-19)
  • COVID-19 & Technology
  • Digital Divide
  • Education & Learning Online

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Katherine Schaeffer is a research analyst at Pew Research Center .

How Americans View the Coronavirus, COVID-19 Vaccines Amid Declining Levels of Concern

Online religious services appeal to many americans, but going in person remains more popular, about a third of u.s. workers who can work from home now do so all the time, how the pandemic has affected attendance at u.s. religious services, mental health and the pandemic: what u.s. surveys have found, most popular.

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March 13, 2020

Online Learning during the COVID-19 Pandemic

What do we gain and what do we lose when classrooms go virtual?

By Yoshiko Iwai

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Watchara Piriaputtanapun Getty Images

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American

I woke up an hour late Wednesday morning, and by the time I had thrown on a sweatshirt, prepared my glass of Emergen-C, and logged onto Zoom , my class had been going on for 15 minutes. The night before I had taken cough syrup for my seasonal cold, and this was the first day my school switched to virtual instruction. Over the course of the three-hour workshop, I noticed my puffy eyes on the panel of faces and became self-conscious. I turned off my video. I became distracted with the noise of sirens outside and muted my speaker, only to then realize: by the time you’re done muting-and-unmuting, the right moment to join the conversation has already passed. I found myself texting on my computer, stepping away to make coffee, running to the bathroom, writing a couple e-mails, and staring at my classmate’s dog in one of the video panels. I don’t think my experience is unique; I imagined similar situations playing out in virtual offices and classrooms across the world.

In the aftermath of the World Health Organization’s designation of the novel coronavirus as a pandemic on March 11, universities across America are shutting down in an attempt to slow its spread. On March 6, the University of Washington took the lead , canceling all in-person classes, with a wave of universities across the country following suit: University of California, Berkeley, U.C., San Diego, Stanford, Rice, Harvard, Columbia, Barnard, N.Y.U, Princeton and Duke, among many others .

This shift into virtual classrooms is the culmination of the past weeks’ efforts to prevent COVID-19 from entering university populations and spreading to local communities: cancellation of university-funded international travel for conferences , blanket bans on any international travel for spring break, canceling study-abroad programs, creating registration systems for any domestic travel.

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Columbia University, which I now attend virtually, moved all classes online starting on March 11. The following morning, president Bollinger declared that classes would be held virtually for the remainder of the school year, and suspended all university-related travel; both international and domestic. The pandemic has affected over 114 countries, killing over 4,000 and shows no sign of abating, leading to chaos in university administration and among students. I find myself obsessing over my family in Japan, especially my mother, whose lung cancer puts her at particular risk. Cancellations are affecting future students as well—admitted students’ events, open houses, and campus tours are all being canceled to minimize contagion.

The quick turn to platforms like Zoom is disrupting curricula, particularly for professors less equipped to navigate the internet and the particularities of managing a classroom mediated by a screen and microphone. I had professors cancel class because they had technical difficulties, trouble with WiFi, or were simply panicked over the prospect of teaching the full class over the new platform. With university IT services focusing efforts on providing professors with how-to webinars on using online platforms, individual student needs for these same services have been placed on hold.

While the initial shift online has created a flurry of chaos, there are benefits to a virtual classroom. Especially in a place like New York, students can continue participating in discussion sections and lectures without riding the subway for an hour, avoiding the anxiety of using public transit or being in other incubators like classrooms, public bathrooms and cafeterias. Students can “sit in” on a class while nursing a common cold or allergies that come with the season, but which can make students a target of serious threats or violence—particularly racialized harassment for Asians. I have found immense relief in not having to pay for Lyfts to campus, avoiding side-eyes for my runny nose or using the little remaining hand sanitizer I have left after holding subway poles. In some situations, online teaching may not even affect student behavior or learning. Studies have shown that medical students learn and perform equally in live versus recorded lectures, and these results are reassuring at a time like the COVID-19 outbreak.

However, the reality is that some subjects are much harder to transfer online. A biochemistry or introductory economics lecture is easier to teach virtually than a music or dance class. The creation of a film or theatrical production requires physical bodies in close proximity. Even in my creative writing workshop, responding to a colleagues’ memoir about her mother’s death is hard to do without looking her in the eye. The screen creates an emotional remove that makes it difficult to have back-and-forth dialogue between multiple people, and it’s almost impossible to provide thoughtful feedback without feeling like you’re speaking into a void.

Over the last few decades, online learning in higher education has been studied extensively. Online MBA programs are on the rise, perhaps unsurprising for a field that often requires virtual conferencing and remote collaboration. Universities now offer online master’s programs to accommodate full-time work and long commutes, or to circumvent the financial barriers of moving to a new location with family. Online bachelor’s degrees are offered by a growing number of schools: Ohio State, University of Illinois Chicago, University of Florida, Arizona State, Penn State and many more. The benefits are the same: classes can be taken anywhere, lack of commute offers more time for studying or external commitments, and the structure is more welcoming to students with physical disability or illness. And yet, online learning hasn’t threatened the traditional model of in-person learning.

A large part of this can be attributed to accountability . Online classes require significantly more motivation and attention. I found it difficult to focus on a pixelated video screen when I could browse the internet on my computer, text on my phone, watch TV in the background, have one hand in the pantry, or just lay comfortably in my bed. The problem, too, is that webinar technology doesn’t quite live up to the hype. Noise and feedback—rustling papers, ambulances, kettles, wind—make it impossible to hear people talk, and so everyone is asked to mute their microphones.

But muting your audio means you can’t jump into a conversation quickly. The “raise hand” function often goes unnoticed by teachers and the chat box is distracting. Sometimes the gallery view just doesn’t work, so you’re stuck staring at your own face or just two of your eighteen classmates. It also means another hurdle for those who hesitate to speak up, even in the best of circumstances. It means you’re just one click away from turning off your camera and being totally off the hook. In an online class over the summer, I once watched a woman—who forgot her camera was still on, though she was muted—vacuum her entire kitchen and living room during a seminar.

In a recent New York Times article, columnist Kevin Roose wrote about his experience working from home while quarantined after COVID-19 exposure. Roose, once a remote worker, cites studies that suggest remote employees are more productive , taking shorter breaks and fewer sick days. But he also writes extensively about the isolation and lack of productivity he feels: “I’ve realized that I can’t be my best, most human self in sweatpants, pretending to pay attention on video conferences between trips to the fridge.” He notes that Steve Jobs, who was a firm believer in in-person collaboration and opposed remote work, once said, “Creativity comes from spontaneous meetings, from random discussions. You run into someone, you ask what they’re doing, you say ‘Wow,’ and soon you’re cooking up all sorts of ideas.”

In educational settings, creativity is arguably one of the most important things at stake. The surprises and unexpected interactions fuel creativity—often a result of sitting in a room brushing shoulders with a classmate, running into professors in a bathroom line, or landing on ideas and insights that arise out of discomfort in the room. This unpredictability is often lost online.

In the essay “Sim Life,” from her book, Make It Scream, Make it Burn , Leslie Jamison writes about the shortcomings of virtual life: “So much of lived experience is composed of what lies beyond our agency and prediction, beyond our grasp, in missteps and unforeseen obstacles and the textures of imperfection: the grit and grain of a sidewalk with its cigarette butts and faint summer stench of garbage and taxi exhaust, the possibility of a rat scuttling from a pile of trash bags, the lilt and laughter of nearby strangers’ voices.”

Classrooms offer these opportunities for riffs and surprise, and a large part of being a student is learning to deliver critique through uncomfortable eye contact, or negotiating a room full of voices and opinions that create friction with your own. When I Zoomed into class from my apartment, I missed being interrupted by classmates who complicated my ideas about a poem or short story. I missed being in workshop and bouncing ideas off of each other to find the best structure for a piece. I missed handwritten critiques, and felt limited in Word: no check pluses, no smiley faces, “Wow” feels flat when it’s not handwritten in the margins, and "Great" feels sarcastic in 10-point Calibri. I was frustrated that I could sleep in because online class meant I could wake up five minutes before class and pretend like I’d been ready all morning.

The COVID-19 pandemic will likely continue presenting challenges beyond those that come up in the course of routine virtual education. Even if this viral spread subsides, or a vaccination becomes readily available, the shift from online classes back to in-person learning may create disruptions of its own—adjusting back to higher standards of accountability, weaning off of phone-checking habits, and transferring comments back to hard copies instead of digital notes. Hopefully, these phases of trouble shooting can provide universities, professors and students the opportunity to practice adaptability, patience and resilience. And hopefully, these experiences will serve as preparation for future challenges that come with the next epidemic, pandemic and other disaster.

For now, I am trying to not look at myself in the gallery of faces, stop being distracted by my expressions, resisting the impulses to check my phone or e-mail, or at least recognize these urges when they arise.

Read more about the coronavirus outbreak  here .

Classroom Q&A

With larry ferlazzo.

In this EdWeek blog, an experiment in knowledge-gathering, Ferlazzo will address readers’ questions on classroom management, ELL instruction, lesson planning, and other issues facing teachers. Send your questions to [email protected]. Read more from this blog.

‘My Online Learning Experience as a Student This Fall Has Been Great’

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This series highlights contributions from students in my classes.

In Part One , Cathy Liu, Julia Yang, Eliseo Angulo Lopez, and Masihullah Shafiq shared their thoughts.

In Part Two , Luis Diaz, Samantha Nicole Vicedo, Cheyenne Lo, and Manpreet Rana contribute their commentaries.

Today, Lyna Nguyen, Nono Loek, and Rachel Anjel “wrap up” this series...

Teachers ‘have been really understanding’

Lyna Nguyen is a junior at Luther Burbank High School in Sacramento, Calif.

My online learning experience as a student this fall has been great. What’s working for me is I like the 40 minutes in class and 40 minutes asynchronous time to work on our assignments. I feel like teachers have been really understanding and helpful of what we’re going through and how difficult it can be. I find it more relaxing for me because everything is organized through Google Classroom, and it puts a little stress off of me because I disliked feeling disorganized and anxious.

iappreciate

What is not working for me is sometimes my time management is off, and it can be a little stressful how teachers assign work really close to the due date of other class assignments. I’d rather have the assignments’ due dates spread out throughout the week. Sometimes, there are technology difficulties, which can interrupt my learning experience. Everything is also online, so it can take a while communicating with teachers. Overall, communication is delayed, and it can be difficult reaching out to teachers and asking for assistance. Even when I need help with a certain assignment, it can be difficult learning and processing information through a screen. Other than that, I appreciate teachers trying their best to make everything work during this pandemic.

‘Internet classes save time’

Nono Loek is a senior at Luther Burbank High School:

In my experience with internet classes, the good far outweighs the bad. Internet classes save time, and saving time is important to me. The studies are structured much better than I expected. I don’t really see a difference between the online and offline structures. Group work is done in separate rooms, and I think it’s not that bad, because we also learn a lot in online classes.

I sometimes miss the interaction with people, making long-lasting friendships, which is extremely important for all of us. At home, it’s hard to force yourself to take a break. I think this pandemic has t probably transformed education. Most of the things we found to be impossible have now proven to be possible.

inmyexperience

I actually really enjoy distance learning, but sometimes I want everything to go back to normal. I also like how I don’t have to wake up at 6 every morning. I like that with learning online, I can relax more, as well as think more. What I don’t like about online learning is that it can take me up to a whole school day (6-7 hours) to finish assignments.

‘I understand teachers are trying to keep us safe’

Rachel Anjel is a senior at Luther Burbank High School:

My online experience this year is kind of boring because I don’t really get to see friends in school anymore. And I thought it was going to be fun using Chromebooks. Sometimes it can be difficult because sometimes the Wi-Fi doesn’t work or it can be slow. I sometimes feel bored because I can’t spend or hang out with my friends.

A good thing is that we have this app called FaceTime, so whenever I’m bored, I can just call my friends. We talk and play while we do our homework and have fun. But at the same time, I think having an online school is bad because I hate sitting in my room the whole six hrs. I remember saying I like online school, but now it’s getting boring. I think it would be better if we went to school. But I understand teachers are trying to keep us safe.

myonlineexperienceiskind

Thanks to Lyna, Nono, and Rachel for their contributions!

(This is the final post in a multipart series. You can see Part One here and Part Two here .)

The question-of-the-week:

What has your online learning experience been as a student this fall? What is working for you and why? What is not working for you and why?

Consider contributing a question to be answered in a future post. You can send one to me at [email protected] . When you send it in, let me know if I can use your real name if it’s selected or if you’d prefer remaining anonymous and have a pseudonym in mind.

You can also contact me on Twitter at @Larryferlazzo .

Education Week has published a collection of posts from this blog, along with new material, in an e-book form. It’s titled Classroom Management Q&As: Expert Strategies for Teaching .

If you missed any of the highlights from the first eight years of this blog, you can see a categorized list below. The list doesn’t include ones from this current year.

  • This Year’s Most Popular Q&A Posts
  • Race & Racism in Schools
  • School Closures & the Coronavirus Crisis
  • Classroom-Management Advice
  • Best Ways to Begin the School Year
  • Best Ways to End the School Year
  • Student Motivation & Social-Emotional Learning
  • Implementing the Common Core
  • Facing Gender Challenges in Education
  • Teaching Social Studies.
  • Cooperative & Collaborative Learning
  • Using Tech in the Classroom
  • Student Voices
  • Parent Engagment In Schools
  • Teaching English-Language Learners
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  • Education Policy Issues
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  • Advice for New Teachers
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  • The Inclusive Classroom
  • Learning & the Brain
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  • Professional Development
  • Instructional Strategies
  • Best of Classroom Q&A
  • Professional Collaboration
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I am also creating a Twitter list including all contributors to this column

The opinions expressed in Classroom Q&A With Larry Ferlazzo are strictly those of the author(s) and do not reflect the opinions or endorsement of Editorial Projects in Education, or any of its publications.

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Coronavirus: My Experience During the Pandemic

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Anastasiya Kandratsenka George Washington High School, Class of 2021

At this point in time there shouldn't be a single person who doesn't know about the coronavirus, or as they call it, COVID-19. The coronavirus is a virus that originated in China, reached the U.S. and eventually spread all over the world by January of 2020. The common symptoms of the virus include shortness of breath, chills, sore throat, headache, loss of taste and smell, runny nose, vomiting and nausea. As it has been established, it might take up to 14 days for the symptoms to show. On top of that, the virus is also highly contagious putting all age groups at risk. The elderly and individuals with chronic diseases such as pneumonia or heart disease are in the top risk as the virus attacks the immune system. 

The virus first appeared on the news and media platforms in the month of January of this year. The United States and many other countries all over the globe saw no reason to panic as it seemed that the virus presented no possible threat. Throughout the next upcoming months, the virus began to spread very quickly, alerting health officials not only in the U.S., but all over the world. As people started digging into the origin of the virus, it became clear that it originated in China. Based on everything scientists have looked at, the virus came from a bat that later infected other animals, making it way to humans. As it goes for the United States, the numbers started rising quickly, resulting in the cancellation of sports events, concerts, large gatherings and then later on schools. 

As it goes personally for me, my school was shut down on March 13th. The original plan was to put us on a two weeks leave, returning on March 30th but, as the virus spread rapidly and things began escalating out of control very quickly, President Trump announced a state of emergency and the whole country was put on quarantine until April 30th. At that point, schools were officially shut down for the rest of the school year. Distanced learning was introduced, online classes were established, a new norm was put in place. As for the School District of Philadelphia distanced learning and online classes began on May 4th. From that point on I would have classes four times a week, from 8AM till 3PM. Virtual learning was something that I never had to experience and encounter before. It was all new and different for me, just as it was for millions of students all over the United States. We were forced to transfer from physically attending school, interacting with our peers and teachers, participating in fun school events and just being in a classroom setting, to just looking at each other through a computer screen in a number of days. That is something that we all could have never seen coming, it was all so sudden and new. 

My experience with distanced learning was not very great. I get distracted very easily and   find it hard to concentrate, especially when it comes to school. In a classroom I was able to give my full attention to what was being taught, I was all there. However, when we had the online classes, I could not focus and listen to what my teachers were trying to get across. I got distracted very easily, missing out on important information that was being presented. My entire family which consists of five members, were all home during the quarantine. I have two little siblings who are very loud and demanding, so I’m sure it can be imagined how hard it was for me to concentrate on school and do what was asked of me when I had these two running around the house. On top of school, I also had to find a job and work 35 hours a week to support my family during the pandemic. My mother lost her job for the time being and my father was only able to work from home. As we have a big family, the income of my father was not enough. I made it my duty to help out and support our family as much as I could: I got a job at a local supermarket and worked there as a cashier for over two months. 

While I worked at the supermarket, I was exposed to dozens of people every day and with all the protection that was implemented to protect the customers and the workers, I was lucky enough to not get the virus. As I say that, my grandparents who do not even live in the U.S. were not so lucky. They got the virus and spent over a month isolated, in a hospital bed, with no one by their side. Our only way of communicating was through the phone and if lucky, we got to talk once a week. Speaking for my family, that was the worst and scariest part of the whole situation. Luckily for us, they were both able to recover completely. 

As the pandemic is somewhat under control, the spread of the virus has slowed down. We’re now living in the new norm. We no longer view things the same, the way we did before. Large gatherings and activities that require large groups to come together are now unimaginable! Distanced learning is what we know, not to mention the importance of social distancing and having to wear masks anywhere and everywhere we go. This is the new norm now and who knows when and if ever we’ll be able go back to what we knew before. This whole experience has made me realize that we, as humans, tend to take things for granted and don’t value what we have until it is taken away from us. 

Articles in this Volume

[tid]: dedication, [tid]: new tools for a new house: transformations for justice and peace in and beyond covid-19, [tid]: black lives matter, intersectionality, and lgbtq rights now, [tid]: the voice of asian american youth: what goes untold, [tid]: beyond words: reimagining education through art and activism, [tid]: voice(s) of a black man, [tid]: embodied learning and community resilience, [tid]: re-imagining professional learning in a time of social isolation: storytelling as a tool for healing and professional growth, [tid]: reckoning: what does it mean to look forward and back together as critical educators, [tid]: leader to leaders: an indigenous school leader’s advice through storytelling about grief and covid-19, [tid]: finding hope, healing and liberation beyond covid-19 within a context of captivity and carcerality, [tid]: flux leadership: leading for justice and peace in & beyond covid-19, [tid]: flux leadership: insights from the (virtual) field, [tid]: hard pivot: compulsory crisis leadership emerges from a space of doubt, [tid]: and how are the children, [tid]: real talk: teaching and leading while bipoc, [tid]: systems of emotional support for educators in crisis, [tid]: listening leadership: the student voices project, [tid]: global engagement, perspective-sharing, & future-seeing in & beyond a global crisis, [tid]: teaching and leadership during covid-19: lessons from lived experiences, [tid]: crisis leadership in independent schools - styles & literacies, [tid]: rituals, routines and relationships: high school athletes and coaches in flux, [tid]: superintendent back-to-school welcome 2020, [tid]: mitigating summer learning loss in philadelphia during covid-19: humble attempts from the field, [tid]: untitled, [tid]: the revolution will not be on linkedin: student activism and neoliberalism, [tid]: why radical self-care cannot wait: strategies for black women leaders now, [tid]: from emergency response to critical transformation: online learning in a time of flux, [tid]: illness methodology for and beyond the covid era, [tid]: surviving black girl magic, the work, and the dissertation, [tid]: cancelled: the old student experience, [tid]: lessons from liberia: integrating theatre for development and youth development in uncertain times, [tid]: designing a more accessible future: learning from covid-19, [tid]: the construct of standards-based education, [tid]: teachers leading teachers to prepare for back to school during covid, [tid]: using empathy to cross the sea of humanity, [tid]: (un)doing college, community, and relationships in the time of coronavirus, [tid]: have we learned nothing, [tid]: choosing growth amidst chaos, [tid]: living freire in pandemic….participatory action research and democratizing knowledge at knowledgedemocracy.org, [tid]: philly students speak: voices of learning in pandemics, [tid]: the power of will: a letter to my descendant, [tid]: photo essays with students, [tid]: unity during a global pandemic: how the fight for racial justice made us unite against two diseases, [tid]: educational changes caused by the pandemic and other related social issues, [tid]: online learning during difficult times, [tid]: fighting crisis: a student perspective, [tid]: the destruction of soil rooted with culture, [tid]: a demand for change, [tid]: education through experience in and beyond the pandemics, [tid]: the pandemic diaries, [tid]: all for one and 4 for $4, [tid]: tiktok activism, [tid]: why digital learning may be the best option for next year, [tid]: my 2020 teen experience, [tid]: living between two pandemics, [tid]: journaling during isolation: the gold standard of coronavirus, [tid]: sailing through uncertainty, [tid]: what i wish my teachers knew, [tid]: youthing in pandemic while black, [tid]: the pain inflicted by indifference, [tid]: education during the pandemic, [tid]: the good, the bad, and the year 2020, [tid]: racism fueled pandemic, [tid]: coronavirus: my experience during the pandemic, [tid]: the desensitization of a doomed generation, [tid]: a philadelphia war-zone, [tid]: the attack of the covid monster, [tid]: back-to-school: covid-19 edition, [tid]: the unexpected war, [tid]: learning outside of the classroom, [tid]: why we should learn about college financial aid in school: a student perspective, [tid]: flying the plane as we go: building the future through a haze, [tid]: my covid experience in the age of technology, [tid]: we, i, and they, [tid]: learning your a, b, cs during a pandemic, [tid]: quarantine: a musical, [tid]: what it’s like being a high school student in 2020, [tid]: everything happens for a reason, [tid]: blacks live matter – a sobering and empowering reality among my peers, [tid]: the mental health of a junior during covid-19 outbreaks, [tid]: a year of change, [tid]: covid-19 and school, [tid]: the virtues and vices of virtual learning, [tid]: college decisions and the year 2020: a virtual rollercoaster, [tid]: quarantine thoughts, [tid]: quarantine through generation z, [tid]: attending online school during a pandemic.

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Original research article, online learning after the covid-19 pandemic: learners’ motivations.

online learning experience during covid 19 essay brainly

  • Endicott College, Woosong University, Daejeon, South Korea

The COVID-19 pandemic has become a focus on reforming teaching, learning models and strategies, particularly in online teaching and learning tools. Based on the social cognitive career theory and the constructivist learning theory, the purpose of this study was to understand and explore the learning preference and experience of students’ online courses during the COVID-19 pandemic and the management after the COVID-19 pandemic from the students’ perspective. The study was guided by the following two research questions: (1) After the COVID-19 pandemic, why do the students want to continue their foreign language courses via an online platform and model? What are the motivations and reasons? (2) How would the students describe their experience of a foreign language course via an online platform and model? With the general inductive approach and sharing from 80 participants, the participants indicated that flexibilities and convenience, same outcomes and learning rigorousness, and interactive experiences with classmates from different parts of the world were the three main key points. The results of this study may provide recommendations to university leaders, department heads, and teachers to reform and upgrade their online teaching curriculum and course delivery options after the COVID-19 pandemic.

Introduction

Due to the development of technologically assisted teaching and learning tools, flexible enrolment management, and delivery options, many traditional-age students and non-traditional students may enjoy university education. A recent report by the State of Oregon Employment Department ( Wallis, 2020 ) predicted that from 2015 to 2026, enrolment of non-traditional students (25 years and older) could increase by 8.2% or 664,000, while the youth population (from 14 to 25 years old) could increase by 16.8% or 1,991,000. By 2026, the non-traditional student population could comprise nearly 40% of the university student population, while just over 60% will be youths.

Distance learning is one of the current international education trends in university environments, in both credit and non-credit courses. Many universities have established a proportion of courses and academic programs for students who cannot attend the traditional face-to-face courses that have been the norm over the past decades. Recent statistics from the National Centre for Education Statistics ( National Center for Education Statistics, 2020 ) indicate that 19,637,499 students enrolled in any undergraduate and postgraduate educational institutions in 2019. In total, 12,323,876 (about 62.8%) students studied as on-campus students without any distance learning options. Also, 7,313,623 (about 37.2%) students enrolled in any online courses at degree-granted postsecondary institutions in the United States. Of these students (37.2%), 3,863,498 students took at least one, but not all, of students; courses are distance education courses, 3,450,125 students took distance learning courses exclusively. These education trends may continue due to the flexibility and convenience of online courses, particularly following the COVID-19 pandemic.

Purpose of the study

First, the COVID-19 pandemic has become a focus on reforming teaching as well as learning models and strategies, particularly in online teaching and learning tools. Recent statistics ( Wallis, 2020 ) indicate that many university students have experienced at least one online course due to the COVID-19 pandemic and government social distancing recommendations. Although many courses will eventually return to traditional face-to-face teaching models and strategies to increase learning and on-campus experience, online teaching and learning have become options for students to complete their courses online, particularly in foreign language courses.

Second, many foreign language courses and instructions tend to focus on face-to-face and physical interactions with students, teachers, and peers in the classroom environment. Although a few literature courses may be delivered online, many language-based courses are physically delivered. Therefore, it is important to understand the voices and comments of foreign language students to upgrade and polish the online-based foreign language courses during and after the COVID-19 pandemic.

The result of this study will provide recommendations to school leaders, department heads, curriculum designers, and policymakers about the developments of online teaching and learning courses, particularly for foreign language learners at the college and university level.

Based on the social cognitive career theory and the constructivist learning theory, this study aimed to understand and explore the learning preference and experience of students’ online courses during the COVID-19 pandemic and the management after the COVID-19 pandemic from the students’ perspective. The study was guided by the following two research questions:

(1) After the COVID-19 pandemic, why do the students want to continue their foreign language courses via an online platform and model? What are the motivations and reasons?

(2) How would the students describe their experience of a foreign language course via an online platform and model?

Theoretical frameworks and literature review

The researcher employed two theoretical frameworks – the social cognitive career theory ( Lent et al., 1994 ; Lent and Brown, 1996 ) and the constructivist learning theory ( Bruner, 1973 , 1996 ) to examine online teaching and learning issues during and after the COVID-19 pandemic. The social cognitive career theory indicates that individuals’ behaviors and motivations can be impacted by both internal and external factors, which can direct the goals and achievements of individuals and groups. For details, please refer to the following section. Therefore, based on the application of the social cognitive career theory, the employment of the theory is useful because the theory may seek the motivation and decision-making processes of the individuals and groups.

Second, the constructivist learning theory ( Bruner, 1973 , 1996 ) is useful for investigating this study. In fact, previous experience, learning style, and understanding could significantly impact individuals’ and groups’ understanding, learning styles, language learning acquisition, and expectations from the classes. In this case, the researcher wanted to understand how the online learning platform and learning style could impact the experiences and expectations of the participants. Therefore, the employment of the constructivist learning theory would be appropriate.

Social cognitive career theory

The social cognitive career theory ( Lent et al., 1994 ; Lent and Brown, 1996 ) advocates that individuals’ self-efficacy beliefs, outcome expectations, and goals build decision-making and sense-making processes. Self-efficacy is an individual’s personal understanding and belief of their capacity and ability to exercise targeted behavior and a series of actions. Outcome expectation refers to the targeted and potential consequences of their decisions. Personal goals refer to intentions during the procedure and the potential aftermath of decisions. Single or multiple factors based on the social cognitive career theory may influence an individual’s decision-making and sense-making process.

Motivation and reason of online learning

COVID-19 pandemic offers the opportunities for students to take courses and complete their programs via the online platform without any physical attendance. A recent study ( Dos Santos, 2021a ) indicated that online student enrolment has increased from 30 to 70% during the COVID-19 pandemic. One hundred international students joined the study and shared positive feedback of online learning based on the social cognitive career theory. Another recent study ( Dos Santos, 2021d ) also indicated that domestic and international students enjoyed the online learning environment as many could continue their education, particularly during the lockdown and COVID-19 pandemic. The participants indicated that the online learning options should be continued to meet the needs of students from different background ( Atmojo and Nugroho, 2020 ; AbuSa’aleek and Alotaibi, 2022 ; Chen and Du, 2022 ).

Online courses and lack of on-campus services and experiences

A recent report ( Wallis, 2020 ) indicates that 78% of online students consider the online classroom environment to be as good as or better than traditional face-to-face methods, while nearly 80% of these students agreed or strongly agreed that online courses and degrees were worth the tuition fees. Student satisfaction and learning outcomes have become significant considerations for teachers, school leaders, and students. Another recent report ( Hess, 2021 ) indicated some students might argue the online courses may not completely satisfy their needs, particularly the facilities and on-campus services that they cannot use as online students. The study further indicated that over 90% of American students wanted the university to reduce a part of the tuition fee as the students could not enjoy the on-campus facilities. Based on the statistics, although many students agreed that the online courses might have similar outcomes and achievements, they would like to pay fewer tuition fees due to the on-campus services (i.e., cannot enjoy the services) ( Zvalo-Martyn, 2020 ).

Constructivist learning theory

In terms of the constructivist learning theory, Bruner (1973 , 1996) argued that learning, particularly language learning, is a model in which learners build new knowledge and language acquisition based on their previous experiences. The cognitive structure is the mental and psychological actions and behavior that provide the performance, understanding, and background from which learners organize the experience, learning expectation, and sense-making process of their new knowledge. As learning is not a standalone process but a procedure combining previous experience and current situations, learners compare the current situation with their previous experience to build up new and appropriate experiences. Bruner (1973 , 1996) identified four important factors of the constructivist learning theory: (1) teaching and learning models and strategies should focus on the connections and sense-making process between previous experience and the current situation; (2) teaching and learning models and strategies should motivate and activate learning interests and new areas of knowledge; (3) learners should be able to handle complex knowledge with no difficulties; (4) teaching and learning models, strategies, and goals should go beyond previous experience in building a new ground.

In short, the social cognitive career theory explored the motivations and reasons why individuals decide to do, continue, conduct, or discontinue a set of behavior before, during, and after some events and issues. And then, the employment of the constructivist learning theory explored the relationships and connections between the previous and current experiences and how these experiences make sense and build up the understanding and knowledge of the individuals and groups. Based on the directions of these two theoretical frameworks, the researcher advocated that the employments were useful to explore the two research questions of this study. As for the research questions, please refer to the following sub-section.

Appropriate online curriculum and activities with positive experiences

As for the feedback and opinions about the teaching and learning experiences and environments, some scholars ( Tratnik et al., 2019 ) argue that students have benefited from foreign language courses in face-to-face environments due to peer interactions and exchanges. However, other scholars ( Wei and Chou, 2020 ) have indicated that students learn actively and are satisfied with the online learning environment. Another recent report ( Zvalo-Martyn, 2020 ) by the Association of American Colleges and Universities further indicated that the sample group (i.e., 24 university students) expressed positive learning experiences from their online university courses as many could use the digital education platform as the learning tools, particularly the online learning can establish the connections between the faculty and peers without borders. Two other studies ( Brown et al., 2013 ; Kwee and Dos Santos, 2021 ) also indicated that vocational and hands-on experience courses might be delivered online as long as the university arrangements, curriculum designs, and student-centered activities may meet the needs and expectations for the achievements; students tended to express positive comments for their final evaluation.

Interactive experiences for online courses: Foreign language learning

Online teaching and learning are not new topics in university education. In 2006, scholars ( Levy and Stockwell, 2006 ) showed that due to the rapid development of technology and upgrading of the classroom environment, many schools and universities had developed computer labs and rooms as essential facilities for many subjects, such as science, technology, and foreign languages. The relationship between online classroom interaction and outcome has received special attention over the decades due to the rapid development of distance learning education ( Gok et al., 2021 ). An earlier study ( Lantolf and Thorne, 2007 ) argued that sociocultural background is key in foreign language learning as students need to absorb knowledge from social and cultural backgrounds. Another newer study ( Lin et al., 2017 ) indicated that provided the teaching and learning strategy and model were effective, the motivation of learners and the outcomes of foreign language courses remained the same. For example, a previous study ( Kurucay and Inan, 2017 ) indicated that online-based groups worked well as many students were used to the online environment and technologically assisted teaching and learning from their previous experiences. In the online classroom environment of foreign language courses, some students expressed anxiety about not receiving immediate feedback from teachers and classmates. However, the participants indicated that effective corrective feedback could meet their learning outcome expectations ( Martin and Alvarez Valdivia, 2017 ).

Concerns for the online foreign language courses

In foreign language and cultural learning, some scholars ( O’Dowd, 2011 ) argue that the sense of internationalism and sociocultural understanding are some important factors. Although textbooks and printed materials provide excellent teaching and learning models, individuals cannot gain knowledge and language acquisition beyond the classroom environment. A study ( Ozudogru and Hismanoglu, 2016 ) surveyed the understanding and beliefs of 478 university freshmen students about their online foreign language learning experience. Although some students shared negative experiences, this study outlined improvements in online foreign language courses. Another study ( VanPatten et al., 2015 ) indicated no preference among 244 university students for either online or on-campus learning in their foreign language courses as both techniques delivered their expectations and goals. Although online foreign language courses may offer the flexibilities, some scholars believed that the interactions, activities, internationalism, and sociocultural experiences may not be gained via the online learning classroom environment. Currently, only a few studies focused on the cases in the United States. It is important to investigate the problems in the United States and the American foreign language classroom environments.

The COVID-19 pandemic has been the turning point for online teaching for almost all universities internationally, particularly in foreign language learning ( Maican and Cocoradã, 2021 ). Although there are no contemporary statistics concerning the numbers of students affected by the global health crisis, almost all college and university students have had to attend online or blended courses due to government lockdown policies, particularly in the United States ( Atmojo and Nugroho, 2020 ; Dhawan, 2020 ; Alqarni, 2021 ; Lau et al., 2021 ). As foreign language courses do not require lab or internship experience, most tuition has been delivered online ( Maican and Cocoradã, 2021 ). A further study ( Atmojo and Nugroho, 2020 ) indicated that due to the COVID-19 pandemic, English language courses should be conducted online to control the risk of infection. Although teachers and students could not attend foreign language courses in person, the virtual experiences did not necessarily limit the learning experiences and outcomes.

Materials and methods

Research design.

The current study employed the general inductive approach ( Thomas, 2006 ; Dos Santos, 2020b , 2021c ) with the interpretivism social paradigm ( Burrell and Morgan, 1979 ). The general inductive approach is useful in this study because the general inductive approach allows the researcher to categorize the massive data into meaningful themes and groups. Based on the themes and groups, the researcher can further categorized the themes as the results.

First, technologically assisted teaching and learning tools and approaches have become popular methods in foreign language teaching and learning. The direction does not limit to a single or small group of schools and universities. In other words, teaching with technologically assisted tools and approaches is widely employed in the current foreign language teaching and learning arena. Therefore, the employment of the general inductive approach covered the wider situation in the current society.

Second, the COVID-19 pandemic provides opportunities for technologically assisted teaching and learning turning point(s). The teaching trends with technology may become one of the main themes in the current education systems, including foreign language subjects. Therefore, the wider perspectives and data collection procedures may be useful in this case.

Recruitment and participants

The purposive and snowball sampling strategies were employed ( Merriam, 2009 ). First of all, based on a personal network, the researcher orally invited three participants to the study. Once three participants agreed with the study, the researcher formally sent the consent form, research protocol, interview questions, focus group activity questions, data collection procedure, risk statement, and related materials to the participants. In order to expand the population, the participants were told that after the first interview session, they should try their best to refer at least one participant for this study. After several rounds of discussions, 80 participants ( N = 80) agreed to join the study. As this study was a small-scale study that only focused on the west coast states in the United States, the researcher tended to establish some limitations to upgrade the focus and aim of this study. In this case, the participants should meet all of the following points:

(1) Currently enrolled at a postsecondary education institution in the United States;

(2) Completed at least one semester of foreign language course via online method;

(3) Currently located in one of the west coast states in the United States (e.g., Oregon, California, Washington, Alaska, and Hawaii).

(4) At least 18 years old.

Data collection

Three data collection tools were employed, including virtual-based, semi-structured and one-on-one interview session, focus group activity, and member checking interview session. First, the virtual-based, semi-structured, and one-on-one interview sessions were useful. Creswell (2012) indicated that interview session is one of the common qualitative data collection tools in social sciences. Merriam (2009) advocated that the individual-based interview allows the individual(s) to share their stories and ideas in a private setting. Some individuals tend not to share their personal backgrounds in front of a group of people. Therefore, the current arrangement for interview sessions might allow the individual(s) to share their understanding and experiences with the researcher. In this case, the interview sessions were appropriate to collect rich data from the participants about their understanding and perspective of online courses in foreign language learning. Based on the theoretical frameworks and some previous studies ( Bruner, 1973 , 1996 ; Lent and Brown, 1996 ; Dos Santos, 2020a , 2021b , 2021c ), the researcher developed the interview questions. The interview session mainly concerned the experiences, learning expectations, and intentions for future online courses after the COVID-19 pandemic. The interview sessions lasted from 90 to 112 min.

After completing all interview sessions, the researcher arranged the virtual-based focus group activities with the participants. The focus group activities mainly concerned the experiences, personal stories sharing, understanding of online courses, and their intention of online courses after the COVID-19 pandemic. Both Morgan (1998) and Merriam (2009) advocated that qualitative researchers may employ more than one data collection tool, such as interview and focus group activity, to increase the participants’ data. Focus group activity is useful because a group of individuals may share similar ideas within a similar background and situation. In this case, the motivation and experiences from the online learning platform and experience. As for the focus group activities, the researcher took the role of the listener as the researcher wanted to observe and collect the in-depth understanding and lived stories of the participants (who shared similar backgrounds and experiences during the COVID-19 pandemic). The researcher developed the focus group questions based on the theoretical frameworks and some previous studies ( Bruner, 1973 , 1996 ; Lent and Brown, 1996 ; Dos Santos, 2020a , 2021a , b ). Eight participants formed an individual focus group activity. Therefore, ten focus group activities were established. The focus group activities lasted from 113 to 132 min.

After the researcher collected and categorized the data based on each participant, the researcher returned the data to the participant via email for confirmation. A follow-up member-checking interview session was hosted for each participant via virtual-based interview. During the member-checking interview sessions, all participants agreed with their materials. Each member checking interview session lasted from 34 to 41 min. All the data collection procedures were digitally recorded. All participants agreed with this arrangement and accepted the sessions were recorded.

Data analysis

The researcher (i.e., worked as the sole researcher) transcribed all the voiced messages into written transcripts. The researcher read the data multiple times to categorize the connections and themes. Therefore, the researcher employed two data analysis procedures and tools in this study, including the general inductive approach ( Thomas, 2006 ) and the grounded theory approach ( Strauss and Corbin, 1990 ) for data analysis.

First, the researcher employed the open-coding technique ( Strauss and Corbin, 1990 ) to narrow down the massive data to themes and subthemes as the first-level themes. At this point, 20 themes (e.g., flexibility, online courses with schedule, family responsibilities, the same outcomes and learning achievements, domestic learning, international learning, etc.) and 18 subthemes (e.g., skill upgrading, the online platform options, students from different states and cities, peer-to-peer exchanging, etc.) were merged.

However, researchers ( Merriam, 2009 ) suggested that further data analysis procedures should be conducted. Therefore, the axial-coding technique ( Strauss and Corbin, 1990 ) was employed. As a result, three themes (i.e., flexibilities and convenience, same outcomes and learning rigorousness, and interactive experiences with classmates from different parts of the world) and three subthemes (i.e., can listen and watch the materials multiple times without limitations, unique learning experiences but additional skills expectations, and university degree without borders) were yielded as the second-level themes. Figure 1 outlines the data analysis procedure.

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Figure 1. Data analysis procedure.

Human subject protection/ethical consideration

Privacy is the most important idea in this study. Therefore, the signed consent forms, personal information, contact information, school information, grades, locations, address, email address, voiced messages, written transcripts, computer, and related information were locked in a password-protected cabinet. Only the researcher could read the information. More importantly, the study was conducted in accordance with the Declaration of Helsinki, and the protocol was supported by the Woosong University Academic Research Funding. After the researcher completed the study, all the related materials were deleted and destroyed in order to protect the information of all parties. Please note no payments were given to any parties. The study was supported by the Woosong University Academic Research Funding 2021/2022 (2021-01-01-07).

Results and findings

Although many students take their courses in different global communities, many shared similar lived stories and experiences, particularly in their foreign language learning experiences during the COVID-19 pandemic in the United States. The researcher categorized three themes and subthemes based on the qualitative data. Table 1 outlines the themes and subthemes. Please note, to provide a comprehensive comparison, the researcher combined the results chapter and discussion chapter for immediate comparison.

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Table 1. Themes and subthemes.

Flexibilities and convenience

…I can learn my Spanish courses in my free time…I am not a traditional student and have to work for my family…I can listen to and read my lessons and lecture notes during my break time at work…my way back home…before sleep…I can still learn the same knowledge and vocabulary without my physical attendance…I submit my assignments and projects on time as other students are…excellent learning option for us… (Participant #60, Focus Group)

All participants expressed flexibility and convenience as the strongest preferences in their online foreign language courses. A group of non-traditional, returning, adult, and evening class students indicated that the traditional face-to-face courses had always limited their selections and learning preferences as they had to work and take care of their families during the daytime ( Dos Santos, 2020a ). Although weekend and night courses are sometimes available, the options are limited. However, the COVID-19 pandemic and the online learning options offered them the same opportunities as traditional on-campus students. The researcher captured the following stories based on this preference:

…we cannot find any foreign language courses other than Spanish and French in the evening…I want to learn Chinese and Japanese…but they were only available during the morning and in the afternoon…but the online option, many evening students could take Chinese and Japanese…I hope the university can continue this online option for us… (Participant #34, Interview)
…I want to study Spanish popular literature and children’s literature as my elective courses…traditionally, based on the previous course catalog, only one professor teaches these courses…usually in the morning time…but because of the COVID…these two courses were offered online with recorded video sessions…I registered for these two courses immediately…it is a really good chance for us…to enjoy the courses as evening and part-time students… (Participant #10, Focus Group)

For example, some minority and less popular foreign language courses had only one session during each academic year. Students facing time conflicts with other courses would not be able to take either the foreign language course or their subject courses in the academic year. However, online courses provide greater flexibility. The researcher captured two stories:

…I am a double major student in Mathematics and Japanese…I have to take the Japanese literature course for my major…but only one session is there every year…if I miss it, I have to wait for another year…but at the same time, I have to take the math course for my math major…it was the advanced level course so only one course was available…this happened last year…but this year because we can take the online courses…the problem solved… (Participant #41, Interview)

The flexibility of online courses solved schedule conflicts between courses and university departments. Students who needed to take multiple foreign languages as their major requirement also expressed interest in online delivery, for example:

…in the translation studies department, we have to take at least two foreign languages beyond our native language…my native language is English…and I have to take Spanish and Italian as the second and third…but many of the translation, Spanish and Italian courses…were overlapped together before the pandemic…I am glad that the online courses…provide me with the chance…so I can finish my degree in 4 years… (Participant #3, Interview)

Can listen and watch the materials multiple times without limitations

In most online foreign language courses, instructors upload teaching and learning materials and exercises online before each lesson so that the students can read the materials before and after the lessons. All participants saw this as a positive experience because they could download and re-read the materials during their leisure time after the lesson. During driving time and breaks, they could play the audio and videos of language exercises. One said:

…in fact, commuting and travel jam waste my time…but if I could listen to the exercises in my car, I could save some time at home…and I do not have to sit in the classroom for the audio and to listen, I can sit in my car and practice the exercise…I learnt a lot because I can listen to the previous chapters and the new chapter…I connected all the vocab and sentences … (Participant #14, Interview)

For example, some participants mentioned that their instructors asked them to listen and watch earlier chapters to connect with their current grammatical structure. In this way, the learners could connect and refresh their previous work to their current materials:

…we were in chapter 34 last week, but our professor asked us to re-listen and re-watch the materials from chapter 22…we didn’t understand why. Still, when we read the old materials again, they learnt some new ideas…the grammatical structures or the slang from the videos…great practices to refresh our knowledge with some old stuff… (Participant #45, Focus Group)

Last but not least, almost all participants indicated that their instructors might release some self-made materials, speaking exercises, personal videos, and materials from the instructors’ personal library from the face-to-face lessons. However, all these materials beyond the textbook were not given to them (i.e., could only be listened to and watched inside the classroom). In this case, many indicated that their instructors uploaded these materials (i.e., materials from instructors’ personal library) on the online platform. Therefore, they could enjoy some materials with their instructors’ comments and perspectives, a story was captured:

…in contemporary literature and pop culture courses…we have to read a lot of reviewers and comments from the real speakers of the languages…but the grammatical structure and vocab…I did not understand it…they just don’t follow the textbook structures…in my intermediate courses on campus 2 years ago, my professor wrote them on the blackboard…I could download, read, listen, and watch it multiple times as it is online… (Participant #49, Focus Group)

In conclusion, the flexibility of the delivery options, flexible time for the lessons, and re-readable materials beyond the textbook were three of the main key terms under this theme and subtheme. Based on some previous studies ( Lee and Choi, 2011 ; VanPatten et al., 2015 ; Mozelius and Hettiarachchi, 2017 ), some scholars believe that students tend to take online courses due to their flexibility and busy working schedules. The results from these studies further echoed the situation before, during, and after the COVID-19 pandemic.

Same outcomes and learning rigorousness

A group of participants said that online and on-campus foreign language courses allowed them to improve their reading, writing, listening, and speaking skills with their classmates and teachers during the live online lessons. The learning outcomes and expectations were the same as they all watched the live lesson requiring virtual face-to-face interaction with others. A story was captured:

…some people told me that they could not speak in front of the computer…so they don’t want to speak…but if you don’t want to speak…in front of the computer or in front of the classroom…you are not going to speak too…this is just an exercise…I see many people speaking in their TikTok videos…just don’t give yourselves any excuses… (Participants #21, Focus Group)

In this case, all considered the role of critical thinking and time management training to be essential in university study. The current COVID-19 pandemic and the online teaching and learning arrangements provided effective training and opportunities. As one said:

…I do not think traditional on-campus courses are better than online courses…we are all here to learn the same courses and the same skills…the delivery options and models are just the models…if you want to learn the knowledge…even if you just read the textbooks without a teacher…people can still learn the greatest knowledge from the textbooks and materials…I don’t want to discriminate between these two methods… (Participant #38, Interview)

Unique learning experiences but additional skills expectations

Although current statistics ( Wallis, 2020 ) indicate that more than half of the student population has experienced the tools of distance learning and online courses, many still are new to this area. Regarding time management, almost all participants indicated that they have set up their personal goals and time schedules for each unit and exercise as they are not required to join the physical classroom environment. A participant shared the following story:

…we used to have to go to the class for the language course in the evening…but we don’t have to for now…but we still have to do the same homework, exam, project, and exercise…my professor told us that we are all adults…he would not force us to read the materials…we have to be responsible…I have learnt some skills to set up weekly goals and schedules…very good opportunities because we gained something new from the school… (Participants #58, Focus Group)

Another participant shared her story of balancing the work between family, school, and workplace as a mother with multiple responsibilities:

1…being a student, a mother, and a full-time worker is very hard…but at least for this semester, many working students could release the stress from attending all physical courses on campus in the evening…we only need to upload the materials on time…but we learn the same knowledge and complete the same exercises and exams…many of us enjoyed this online learning experiences…although a few complained about the interactions and oral communication…I don’t see there are any differences… (Participant #19, Interview)

Echoing the reflection of some scholars ( Gorbunovs et al., 2016 ), a large group of participants indicated that self-regulation and self-discipline are key to online learning experiences, regardless of age and background. The researcher captured a story:

…because we do not have to go to class and some of my courses in Spanish do not need us to attend the live lessons…I have to learn how to balance my time…also, set up goals to complete my assignment on time…my son only attended his lessons online…he also needs to complete his assignment on time and online…I have to teach my son to finish his work appropriately…and I have to be the right model…if I cannot complete mine appropriately, how can I tell my son to do so?… (Participant #7, Interview)

Interactive experiences with classmates from different parts of the world

The online courses connected domestic and international students worldwide through the online platform. All participants indicated they had at least one international student and a group of domestic students not living in their home state but connected via the online platform. This unique experience could not be acquired through on-campus experience as all are required to be on campus for physical lessons. The researcher captured two interesting stories:

…I have several students from the New England region, one from Hawaii, and one from Alaska in my French course…they should come back there on-campus…but the lockdown allowed us to connect online…we have to do homework…introduce our home city in French…I could see the view in Alaska and Hawaii…in the same 90-min lesson in life…not from the recorded videos or so…unique experiences from online learning… (Participant #27, Focus Group)

Another story was about the global connection with international students:

…we had many students from China, South Korea, Singapore, India, the United Kingdom, Pakistan, and the Middle East in our Spanish language courses over two semesters…I didn’t realize that we had many international students in my school…who are interested in the Spanish language…we exchanged a lot of knowledge and ideas from the online platforms and forums…I grouped with a Chinese student for the speaking project…I am very happy with this unique experience… (Participant #51, Interview)

University degree without borders

Besides learning experiences with students from different global communities, all expressed satisfaction with the unique experiences of non-traditional, returning, adult, and evening class students who had extensive working experience before joining university. From the perspective of the traditional age students, there was an expression of satisfaction in the experience of these less traditional classmates in the online classroom environment. Two stories were captured:

…I am so happy that I could chat with many experienced classmates who have many years of working experience in the field…although many of them learnt Spanish due to the general education requirement…they shared a lot of lived experiences in their subject courses and vocational skills to us…we could not have these chats during the daytime courses…I wish I can have these conversations in the future… (Participant #80, Focus Group)

Another participant shared ideas on the connection between foreign language and vocational knowledge from some of the experienced students in the online classroom environment:

…one of the projects was to use Spanish to do the role-play exercises based on our academic major…my major is nursing so I was paired with another public health classmate…my classmate was an evening student…she was a mother with 20 years of working experiences in a big chained hospital…I learnt a lot of speaking skills from her in English and Spanish…I am glad that we could connect because of this online course… (Participant #71, Focus Group)

Many non-traditional, returning, adult and evening class students enjoyed pairing up with traditional-age students because of their fresh ideas and similarities with their children. Many non-traditional, returning, adult, and evening class students are in their early 40s or 50s and are at school simultaneously as their college-aged children. When the researcher asked about their experience and learning motivation, many expressed a strong satisfaction and motivation in online learning. One story was given:

…my son and I did not go to the same university…but we learnt the same level of Spanish course in the same semester…I chatted with my son about the Spanish lesson…and I introduced my classmates to my son too…we all three talked together and shared some ideas …my classmate’s mother is going to school for a nursing degree, too…the online course connected two families together… (Participant #65, Focus Group)

With a reflection on a previous study about distance learning and online learning ( VanPatten et al., 2015 ), both traditional-age and non-traditional students indicated that the online-based courses allowed them to study their courses and requirements during their free time. More importantly, as some courses (e.g., elective courses) could only be offered once per year during the daytime (e.g., 9 AM), some part-time and working students could not complete the courses. Therefore, the current online arrangement met the expectations of both parties ( Jaggars, 2014 ; Tratnik et al., 2019 ). A group of non-traditional, returning, adult, and evening class students indicated that the traditional face-to-face courses had always limited their selections and learning preferences as they had to work and take care of their families during the daytime ( Dos Santos, 2020a ). However, the COVID-19 pandemic and the online learning options offered them the same opportunities as traditional on-campus students.

Besides the input from the non-traditional, returning, adult, and evening class students, many full-time students also expressed an interest in the online delivery option for their foreign language courses, particularly the flexibilities ( Dos Santos, 2020a ; Kwee, 2021 ; Maican and Cocoradã, 2021 ). However, online courses provide greater flexibility.

Many previous studies ( Pitarch, 2018 ; Liu and Li, 2019 ) have indicated that re-assessment and re-evaluation after lessons could upgrade and connect learners’ previous knowledge with their current learning materials. For example, with the reflection of a previous study ( Atmojo and Nugroho, 2020 ), all participants said they could download the audio and videos from the online learning platform to their cellphones and iPads. Based on the reflection of a previous study ( Damayanti and Rachmah, 2020 ), nearly all said that if they listened to the whole series of audios and videos at home, they could connect early chapters and exercises from previous semesters for better understanding and practice.

Based on some previous studies ( Lee and Choi, 2011 ; VanPatten et al., 2015 ; Mozelius and Hettiarachchi, 2017 ), some scholars believe that students tend to take online courses due to their flexibility and busy working schedules. The results from these studies further echoed the situation before, during, and after the COVID-19 pandemic.

Although some students may return to traditional face-to-face classroom environments after the COVID-19 pandemic, online teaching and learning options should remain active, as both traditional and non-traditional students may benefit the delivery. In the aspect of online teaching and learning, participants and previous studies ( O’Dowd, 2011 ; Chan et al., 2021 ; Iqbal and Sohail, 2021 )also argued that the online learning platform and environment should not have any significant differences in terms of outcomes and students’ achievements. In this case, many participants believed that online learning and online learning platform offered them the convenience and opportunities to gain new knowledge under the new technology.

Following social cognitive career theory ( Lent et al., 1994 ; Lent and Brown, 1996 ) and constructivist learning theory ( Bruner, 1973 , 1996 ), participants expressed their motivation for online courses due to the greater flexibility and freedom of learning. Such flexibility was unavailable under the traditional system because many courses had overlapped. Also, the online experiences further encouraged their learning experiences, motivations, and opportunities during and potentially after the COVID-19 pandemic.

Although some students may return to traditional face-to-face classroom environments after the COVID-19 pandemic, online teaching and learning options should remain active, as both traditional and non-traditional students may benefit the delivery. In the aspect of online teaching and learning, participants and previous studies ( O’Dowd, 2011 ; Chan et al., 2021 ; Iqbal and Sohail, 2021 ) also argued that the online learning platform and environment should not have any significant differences in terms of outcomes and students’ achievements. In this case, many participants believed that online learning and online learning platform offered them the convenience and opportunities to gain new knowledge under the new technology.

Some previous studies and researchers ( Al-Kumaim et al., 2021 ) have argued that online teaching and learning strategies cannot provide the same outcomes, experiences, performances, and learning rigorousness to the learners. A recent study ( Meşe and Sevilen, 2021 ) further argued that the lack of social interaction between peers and teachers could result in foreign language learners’ negative motivation and learning performance at university. However, in this case, all participants felt that the learning outcomes and expectations had been met in their online foreign language courses.

Furthermore, reflecting on a study from Güntaş et al. (2021) , almost all participants agreed that university education and experience train individuals in critical thinking skills and effective time management. All university students believed that the online foreign language courses provided them with excellent opportunities to organize their time management between their major courses and foreign language exercises ( Biletska et al., 2021 ).

Reflecting on previous studies on online and distance learning education ( Sykes and Roy, 2017 ; Gok et al., 2021 ), many participants considered the rigorous learning of both traditional and online courses equal, without any significant differences. Online courses require additional effectiveness, self-regulation, and self-motivation for their outcomes and achievements. As all completed the same exercises, exams, and homework by the deadline, all participants argued that the learning outcomes were as strong as the on-campus courses.

Many students still need time to adjust their learning expectations and personal beliefs to online courses, such as time management, self-regulation, and self-discipline ( Brown et al., 2015 ; Mozelius and Hettiarachchi, 2017 ).

The flexibility provided excellent possibilities for students to access and read the materials in their leisure time. However, the flexibility also led to some students dropping out as some could not organize and arrange their time schedules effectively ( Brown et al., 2015 ). However, the online learning achievements and outcomes do not differ based on the participants. In other words, many participants believed they could gain new knowledge and ideas in both on-campus and online classroom environments ( Yukselturk et al., 2014 ; Wright, 2017 ; Rasheed, 2020 ). More importantly, many believed the online teaching and learning environment could enhance their time management skills and interdisciplinary studies beyond the on-campus classroom environments ( Brown et al., 2013 ).

Based on the social cognitive career theory ( Lent et al., 1994 ; Lent and Brown, 1996 ), the researcher confirmed that many participants decided to learn and potentially continue their studies with online courses, motivated by the flexibility and self-arranged time schedules that fitted with their other responsibilities. Also, with a reflection on the constructivist learning theory ( Bruner, 1973 , 1996 ), participants indicated that their previous time management experience had established their current responsibilities and expectations of the online courses.

Many previous studies ( Lee and Rice, 2007 ; Choudaha, 2016 ) have highlighted the United States as a well-known destination for international students, including students in community colleges, universities, and graduate schools. Due to the COVID-19 pandemic, many international students could not return to the United States for on-campus lessons and experiences.

In conclusion, internationalism and student satisfaction are important for these participants. Firstly, reflecting on the social cognitive career theory ( Lent et al., 1994 ; Lent and Brown, 1996 ), many felt that internationalism and idea exchange played important roles in foreign language learning through listening to conversations and ideas from people in different global communities. Unlike in the past decades, students can study and attend classes and courses via online teaching and learning platforms internationally. Besides international students, non-traditional, evening, returning, and adult students also enjoy the flexibility of the online teaching and learning platform due to the development of technology ( Olesen-Tracey, 2010 ; AbuSa’aleek and Alotaibi, 2022 ). The current online learning experience provided this unique opportunity as the online platform connected students inside and outside the country, thus appropriately meeting students’ motivations.

Secondly, reflecting on the constructivist learning theory ( Bruner, 1973 , 1996 ), many participants expressed that they could improve their subject and foreign language knowledge with students from different backgrounds, such as non-traditional students, and that the learning experiences were rich. The findings of this study appropriately met the directions of two theoretical frameworks and answered the research questions.

Limitations and future research developments

Two limitations and future research developments were identified. Firstly, the current study collected data from 80 participants ( N = 80) learning and completing their foreign language requirements in the United States. Although none of their academic majors was in a foreign language, the study covered the voices and stories of many participants who had to complete a general education requirement in a foreign language via online platforms during the COVID-19 pandemic. However, students in other classes, university major(s), colleges, universities, and backgrounds may face similar issues and problems. Therefore, future research studies could cover the experience of other students, such as students in foreign language majors, to capture a broader understanding and perspective.

Secondly, the United States has over a million active student enrolments annually. The current study only covered students’ voices in the Pacific states and regions. In the future, scholars with greater funding and samples should expand the population to other American regions, such as the New England region, to capture a wider perspective.

Contributions to the practice and conclusion

First, the current study used foreign language courses and students to understand the motivations of learning and online learning experiences, particularly in American university environments. The findings of this study successfully filled up the gap in online learning, particularly the motivations and intentions of delivery methods after the COVID-19 pandemic from students’ perspectives. Students are the users of online courses. Instructors and university departments should create and design courses and delivery options that meet the demands and needs of their students. Online courses will become a popular trend in the university environment after the COVID-19 pandemic. It is important to gather the students’ voices to upgrade the teaching and learning approaches.

Second, university leaders, department heads, and teachers may use this study as the blueprint to reform and design some online courses, particularly in foreign language teaching and learning, to help non-traditional, returning, evening, and adult students who cannot attend the physical classes. As most participants advocated that online delivery does not limit their motivations and achievements, the development of online foreign language courses are greatly needed.

Third, although the participants were foreign language course takers and students, they took different online courses in their major subjects due to the COVID-19 pandemic. Based on their sharing, many advocated that the online courses and virtual learning environment were enjoyable. Based on the voices and suggestions, the curriculum planners and department leaders may expand and continue the online courses and delivery options after the COVID-19 pandemic.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by Woosong University Academic Research Funding Department. The patients/participants provided their written informed consent to participate in this study.

Author contributions

The author confirms being the sole contributor of this work and has approved it for publication.

This research was supported by Woosong University Academic Research Funding 2021.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Keywords : COVID-19 pandemic, computer-aided language learning, distance learning, foreign language teaching, online course, online teacher, technologically assisted teaching, technology education

Citation: Dos Santos LM (2022) Online learning after the COVID-19 pandemic: Learners’ motivations. Front. Educ. 7:879091. doi: 10.3389/feduc.2022.879091

Received: 18 February 2022; Accepted: 05 September 2022; Published: 20 September 2022.

Reviewed by:

Copyright © 2022 Dos Santos. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Luis M. Dos Santos, [email protected]

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The Effect of COVID-19 on Education

Jacob hoofman.

a Wayne State University School of Medicine, 540 East Canfield, Detroit, MI 48201, USA

Elizabeth Secord

b Department of Pediatrics, Wayne Pediatrics, School of Medicine, Pediatrics Wayne State University, 400 Mack Avenue, Detroit, MI 48201, USA

COVID-19 has changed education for learners of all ages. Preliminary data project educational losses at many levels and verify the increased anxiety and depression associated with the changes, but there are not yet data on long-term outcomes. Guidance from oversight organizations regarding the safety and efficacy of new delivery modalities for education have been quickly forged. It is no surprise that the socioeconomic gaps and gaps for special learners have widened. The medical profession and other professions that teach by incrementally graduated internships are also severely affected and have had to make drastic changes.

  • • Virtual learning has become a norm during COVID-19.
  • • Children requiring special learning services, those living in poverty, and those speaking English as a second language have lost more from the pandemic educational changes.
  • • For children with attention deficit disorder and no comorbidities, virtual learning has sometimes been advantageous.
  • • Math learning scores are more likely to be affected than language arts scores by pandemic changes.
  • • School meals, access to friends, and organized activities have also been lost with the closing of in-person school.

The transition to an online education during the coronavirus disease 2019 (COVID-19) pandemic may bring about adverse educational changes and adverse health consequences for children and young adult learners in grade school, middle school, high school, college, and professional schools. The effects may differ by age, maturity, and socioeconomic class. At this time, we have few data on outcomes, but many oversight organizations have tried to establish guidelines, expressed concerns, and extrapolated from previous experiences.

General educational losses and disparities

Many researchers are examining how the new environment affects learners’ mental, physical, and social health to help compensate for any losses incurred by this pandemic and to better prepare for future pandemics. There is a paucity of data at this juncture, but some investigators have extrapolated from earlier school shutdowns owing to hurricanes and other natural disasters. 1

Inclement weather closures are estimated in some studies to lower middle school math grades by 0.013 to 0.039 standard deviations and natural disaster closures by up to 0.10 standard deviation decreases in overall achievement scores. 2 The data from inclement weather closures did show a more significant decrease for children dependent on school meals, but generally the data were not stratified by socioeconomic differences. 3 , 4 Math scores are impacted overall more negatively by school absences than English language scores for all school closures. 4 , 5

The Northwest Evaluation Association is a global nonprofit organization that provides research-based assessments and professional development for educators. A team of researchers at Stanford University evaluated Northwest Evaluation Association test scores for students in 17 states and the District of Columbia in the Fall of 2020 and estimated that the average student had lost one-third of a year to a full year's worth of learning in reading, and about three-quarters of a year to more than 1 year in math since schools closed in March 2020. 5

With school shifted from traditional attendance at a school building to attendance via the Internet, families have come under new stressors. It is increasingly clear that families depended on schools for much more than math and reading. Shelter, food, health care, and social well-being are all part of what children and adolescents, as well as their parents or guardians, depend on schools to provide. 5 , 6

Many families have been impacted negatively by the loss of wages, leading to food insecurity and housing insecurity; some of loss this is a consequence of the need for parents to be at home with young children who cannot attend in-person school. 6 There is evidence that this economic instability is leading to an increase in depression and anxiety. 7 In 1 survey, 34.71% of parents reported behavioral problems in their children that they attributed to the pandemic and virtual schooling. 8

Children have been infected with and affected by coronavirus. In the United States, 93,605 students tested positive for COVID-19, and it was reported that 42% were Hispanic/Latino, 32% were non-Hispanic White, and 17% were non-Hispanic Black, emphasizing a disproportionate effect for children of color. 9 COVID infection itself is not the only issue that affects children’s health during the pandemic. School-based health care and school-based meals are lost when school goes virtual and children of lower socioeconomic class are more severely affected by these losses. Although some districts were able to deliver school meals, school-based health care is a primary source of health care for many children and has left some chronic conditions unchecked during the pandemic. 10

Many families report that the stress of the pandemic has led to a poorer diet in children with an increase in the consumption of sweet and fried foods. 11 , 12 Shelter at home orders and online education have led to fewer exercise opportunities. Research carried out by Ammar and colleagues 12 found that daily sitting had increased from 5 to 8 hours a day and binge eating, snacking, and the number of meals were all significantly increased owing to lockdown conditions and stay-at-home initiatives. There is growing evidence in both animal and human models that diets high in sugar and fat can play a detrimental role in cognition and should be of increased concern in light of the pandemic. 13

The family stress elicited by the COVID-19 shutdown is a particular concern because of compiled evidence that adverse life experiences at an early age are associated with an increased likelihood of mental health issues as an adult. 14 There is early evidence that children ages 6 to 18 years of age experienced a significant increase in their expression of “clinginess, irritability, and fear” during the early pandemic school shutdowns. 15 These emotions associated with anxiety may have a negative impact on the family unit, which was already stressed owing to the pandemic.

Another major concern is the length of isolation many children have had to endure since the pandemic began and what effects it might have on their ability to socialize. The school, for many children, is the agent for forming their social connections as well as where early social development occurs. 16 Noting that academic performance is also declining the pandemic may be creating a snowball effect, setting back children without access to resources from which they may never recover, even into adulthood.

Predictions from data analysis of school absenteeism, summer breaks, and natural disaster occurrences are imperfect for the current situation, but all indications are that we should not expect all children and adolescents to be affected equally. 4 , 5 Although some children and adolescents will likely suffer no long-term consequences, COVID-19 is expected to widen the already existing educational gap from socioeconomic differences, and children with learning differences are expected to suffer more losses than neurotypical children. 4 , 5

Special education and the COVID-19 pandemic

Although COVID-19 has affected all levels of education reception and delivery, children with special needs have been more profoundly impacted. Children in the United States who have special needs have legal protection for appropriate education by the Individuals with Disabilities Education Act and Section 504 of the Rehabilitation Act of 1973. 17 , 18 Collectively, this legislation is meant to allow for appropriate accommodations, services, modifications, and specialized academic instruction to ensure that “every child receives a free appropriate public education . . . in the least restrictive environment.” 17

Children with autism usually have applied behavioral analysis (ABA) as part of their individualized educational plan. ABA therapists for autism use a technique of discrete trial training that shapes and rewards incremental changes toward new behaviors. 19 Discrete trial training involves breaking behaviors into small steps and repetition of rewards for small advances in the steps toward those behaviors. It is an intensive one-on-one therapy that puts a child and therapist in close contact for many hours at a time, often 20 to 40 hours a week. This therapy works best when initiated at a young age in children with autism and is often initiated in the home. 19

Because ABA workers were considered essential workers from the early days of the pandemic, organizations providing this service had the responsibility and the freedom to develop safety protocols for delivery of this necessary service and did so in conjunction with certifying boards. 20

Early in the pandemic, there were interruptions in ABA followed by virtual visits, and finally by in-home therapy with COVID-19 isolation precautions. 21 Although the efficacy of virtual visits for ABA therapy would empirically seem to be inferior, there are few outcomes data available. The balance of safety versus efficacy quite early turned to in-home services with interruptions owing to illness and decreased therapist availability owing to the pandemic. 21 An overarching concern for children with autism is the possible loss of a window of opportunity to intervene early. Families of children and adolescents with autism spectrum disorder report increased stress compared with families of children with other disabilities before the pandemic, and during the pandemic this burden has increased with the added responsibility of monitoring in-home schooling. 20

Early data on virtual schooling children with attention deficit disorder (ADD) and attention deficit with hyperactivity (ADHD) shows that adolescents with ADD/ADHD found the switch to virtual learning more anxiety producing and more challenging than their peers. 22 However, according to a study in Ireland, younger children with ADD/ADHD and no other neurologic or psychiatric diagnoses who were stable on medication tended to report less anxiety with at-home schooling and their parents and caregivers reported improved behavior during the pandemic. 23 An unexpected benefit of shelter in home versus shelter in place may be to identify these stressors in face-to-face school for children with ADD/ADHD. If children with ADD/ADHD had an additional diagnosis of autism or depression, they reported increased anxiety with the school shutdown. 23 , 24

Much of the available literature is anticipatory guidance for in-home schooling of children with disabilities rather than data about schooling during the pandemic. The American Academy of Pediatrics published guidance advising that, because 70% of students with ADHD have other conditions, such as learning differences, oppositional defiant disorder, or depression, they may have very different responses to in home schooling which are a result of the non-ADHD diagnosis, for example, refusal to attempt work for children with oppositional defiant disorder, severe anxiety for those with depression and or anxiety disorders, and anxiety and perseveration for children with autism. 25 Children and families already stressed with learning differences have had substantial challenges during the COVID-19 school closures.

High school, depression, and COVID-19

High schoolers have lost a great deal during this pandemic. What should have been a time of establishing more independence has been hampered by shelter-in-place recommendations. Graduations, proms, athletic events, college visits, and many other social and educational events have been altered or lost and cannot be recaptured.

Adolescents reported higher rates of depression and anxiety associated with the pandemic, and in 1 study 14.4% of teenagers report post-traumatic stress disorder, whereas 40.4% report having depression and anxiety. 26 In another survey adolescent boys reported a significant decrease in life satisfaction from 92% before COVID to 72% during lockdown conditions. For adolescent girls, the decrease in life satisfaction was from 81% before COVID to 62% during the pandemic, with the oldest teenage girls reporting the lowest life satisfaction values during COVID-19 restrictions. 27 During the school shutdown for COVID-19, 21% of boys and 27% of girls reported an increase in family arguments. 26 Combine all of these reports with decreasing access to mental health services owing to pandemic restrictions and it becomes a complicated matter for parents to address their children's mental health needs as well as their educational needs. 28

A study conducted in Norway measured aspects of socialization and mood changes in adolescents during the pandemic. The opportunity for prosocial action was rated on a scale of 1 (not at all) to 6 (very much) based on how well certain phrases applied to them, for example, “I comforted a friend yesterday,” “Yesterday I did my best to care for a friend,” and “Yesterday I sent a message to a friend.” They also ranked mood by rating items on a scale of 1 (not at all) to 5 (very well) as items reflected their mood. 29 They found that adolescents showed an overall decrease in empathic concern and opportunity for prosocial actions, as well as a decrease in mood ratings during the pandemic. 29

A survey of 24,155 residents of Michigan projected an escalation of suicide risk for lesbian, gay, bisexual, transgender youth as well as those youth questioning their sexual orientation (LGBTQ) associated with increased social isolation. There was also a 66% increase in domestic violence for LGBTQ youth during shelter in place. 30 LGBTQ youth are yet another example of those already at increased risk having disproportionate effects of the pandemic.

Increased social media use during COVID-19, along with traditional forms of education moving to digital platforms, has led to the majority of adolescents spending significantly more time in front of screens. Excessive screen time is well-known to be associated with poor sleep, sedentary habits, mental health problems, and physical health issues. 31 With decreased access to physical activity, especially in crowded inner-city areas, and increased dependence on screen time for schooling, it is more difficult to craft easy solutions to the screen time issue.

During these times, it is more important than ever for pediatricians to check in on the mental health of patients with queries about how school is going, how patients are keeping contact with peers, and how are they processing social issues related to violence. Queries to families about the need for assistance with food insecurity, housing insecurity, and access to mental health services are necessary during this time of public emergency.

Medical school and COVID-19

Although medical school is an adult schooling experience, it affects not only the medical profession and our junior colleagues, but, by extrapolation, all education that requires hands-on experience or interning, and has been included for those reasons.

In the new COVID-19 era, medical schools have been forced to make drastic and quick changes to multiple levels of their curriculum to ensure both student and patient safety during the pandemic. Students entering their clinical rotations have had the most drastic alteration to their experience.

COVID-19 has led to some of the same changes high schools and colleges have adopted, specifically, replacement of large in-person lectures with small group activities small group discussion and virtual lectures. 32 The transition to an online format for medical education has been rapid and impacted both students and faculty. 33 , 34 In a survey by Singh and colleagues, 33 of the 192 students reporting 43.9% found online lectures to be poorer than physical classrooms during the pandemic. In another report by Shahrvini and colleagues, 35 of 104 students surveyed, 74.5% students felt disconnected from their medical school and their peers and 43.3% felt that they were unprepared for their clerkships. Although there are no pre-COVID-19 data for comparison, it is expected that the COVID-19 changes will lead to increased insecurity and feelings of poor preparation for clinical work.

Gross anatomy is a well-established tradition within the medical school curriculum and one that is conducted almost entirely in person and in close quarters around a cadaver. Harmon and colleagues 36 surveyed 67 gross anatomy educators and found that 8% were still holding in-person sessions and 34 ± 43% transitioned to using cadaver images and dissecting videos that could be accessed through the Internet.

Many third- and fourth-year medical students have seen periods of cancellation for clinical rotations and supplementation with online learning, telemedicine, or virtual rounds owing to the COVID-19 pandemic. 37 A study from Shahrvini and colleagues 38 found that an unofficial document from Reddit (a widely used social network platform with a subgroup for medical students and residents) reported that 75% of medical schools had canceled clinical activities for third- and fourth-year students for some part of 2020. In another survey by Harries and colleagues, 39 of the 741 students who responded, 93.7% were not involved in clinical rotations with in-person patient contact. The reactions of students varied, with 75.8% admitting to agreeing with the decision, 34.7% feeling guilty, and 27.0% feeling relieved. 39 In the same survey, 74.7% of students felt that their medical education had been disrupted, 84.1% said they felt increased anxiety, and 83.4% would accept the risk of COVID-19 infection if they were able to return to the clinical setting. 39

Since the start of the pandemic, medical schools have had to find new and innovative ways to continue teaching and exposing students to clinical settings. The use of electronic conferencing services has been critical to continuing education. One approach has been to turn to online applications like Google Hangouts, which come at no cost and offer a wide variety of tools to form an integrative learning environment. 32 , 37 , 40 Schools have also adopted a hybrid model of teaching where lectures can be prerecorded then viewed by the student asynchronously on their own time followed by live virtual lectures where faculty can offer question-and-answer sessions related to the material. By offering this new format, students have been given more flexibility in terms of creating a schedule that suits their needs and may decrease stress. 37

Although these changes can be a hurdle to students and faculty, it might prove to be beneficial for the future of medical training in some ways. Telemedicine is a growing field, and the American Medical Association and other programs have endorsed its value. 41 Telemedicine visits can still be used to take a history, conduct a basic visual physical examination, and build rapport, as well as performing other aspects of the clinical examination during a pandemic, and will continue to be useful for patients unable to attend regular visits at remote locations. Learning effectively now how to communicate professionally and carry out telemedicine visits may better prepare students for a future where telemedicine is an expectation and allow students to learn the limitations as well as the advantages of this modality. 41

Pandemic changes have strongly impacted the process of college applications, medical school applications, and residency applications. 32 For US medical residencies, 72% of applicants will, if the pattern from 2016 to 2019 continues, move between states or countries. 42 This level of movement is increasingly dangerous given the spread of COVID-19 and the lack of currently accepted procedures to carry out such a mass migration safely. The same follows for medical schools and universities.

We need to accept and prepare for the fact that medial students as well as other learners who require in-person training may lack some skills when they enter their profession. These skills will have to be acquired during a later phase of training. We may have less skilled entry-level resident physicians and nurses in our hospitals and in other clinical professions as well.

The COVID-19 pandemic has affected and will continue to affect the delivery of knowledge and skills at all levels of education. Although many children and adult learners will likely compensate for this interruption of traditional educational services and adapt to new modalities, some will struggle. The widening of the gap for those whose families cannot absorb the teaching and supervision of education required for in-home education because they lack the time and skills necessary are not addressed currently. The gap for those already at a disadvantage because of socioeconomic class, language, and special needs are most severely affected by the COVID-19 pandemic school closures and will have the hardest time compensating. As pediatricians, it is critical that we continue to check in with our young patients about how they are coping and what assistance we can guide them toward in our communities.

Clinics care points

  • • Learners and educators at all levels of education have been affected by COVID-19 restrictions with rapid adaptations to virtual learning platforms.
  • • The impact of COVID-19 on learners is not evenly distributed and children of racial minorities, those who live in poverty, those requiring special education, and children who speak English as a second language are more negatively affected by the need for remote learning.
  • • Math scores are more impacted than language arts scores by previous school closures and thus far by these shutdowns for COVID-19.
  • • Anxiety and depression have increased in children and particularly in adolescents as a result of COVID-19 itself and as a consequence of school changes.
  • • Pediatricians should regularly screen for unmet needs in their patients during the pandemic, such as food insecurity with the loss of school meals, an inability to adapt to remote learning and increased computer time, and heightened anxiety and depression as results of school changes.

The authors have nothing to disclose.

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  1. Students' experience of online learning during the COVID‐19 pandemic: A

    Empirical research targeting the full spectrum of K‐12students remain scarce. Therefore, to address these gaps, the current paper reports the findings of a large‐scale study that sought to explore K‐12 students' online learning experience during the COVID‐19 pandemic in a provincial sample of over one million Chinese students.

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