• Event Gallery

logo

Journal - IIE Pune

  • Home  

The mouthpiece of Indian Institute of Education namely, “शिक्षण आणि समाज” (Education and Society) publishes the articles, research papers in Marathi, Hindi and English language. It has ISSN 2278-6864 and it is also UGC CARE listed periodical. The details about UGC care list are available at https://ugccare.unipune.ac.in/Apps1/User/WebA/SearchList

Annual subscription charges are Rs. 400/-. Payments can be send by MO/DD. DD may be drawn in favour of “Indian Institute of Education” payable at Pune. Subscription may be sent online through NEFT or RTGS. We have maintained the following account to credit the subscription fees.

Note for Information to all Research Scholars

So far the Indian Institute of Education has received 895 research articles for publication in our UGC Care journal ‘Education and Society’. To maintain quality and academic standards of research articles we reserve our right to publish selected articles by following rigorous scrutiny. The researcher should note that till acceptance from Editorial board is not received your article acceptance is not confirmed. Please note that after proper quality review the concerned articles will be published and the authors shall be communicated in advance for completing essential process.

Please note that no personal communication (verbal or written) in this regard shall be entertained. Your healthy cooperation will be appreciated.

education research paper in marathi

Name of the account: Indian Institute of Education Name of the Bank: Bank of Maharashtra Branch: Mayur Colony, Kothrud, Pune 411038 Account No.: 200 470 983 77 (Saving) IFSC : MAHB 0000852

  • Year: 46, Issue No.: 3, Volume: I/April-June 2023, ISSN: 2278-6864
  • Year: 46, Issue No.: 3, Volume: II /April-June 2023, ISSN: 2278-6864
  • Year: 46, Issue No.: 3, Volume: III/April-June 2023, ISSN: 2278-6864

An Educational Research Journal published in मराठी & English

Peer-reviewed and published quarterly in English and Marathi language

An Educational Research Journal

Sanshodhan chetana means "Inspiration to Research". Sanshodhan Chetana invites articles on original Research, theories, issues and problems associated with the field of Education.

Sanshodhan Chetana is an Educational Research Journal peer-reviewed and published quarterly in English and Marathi language. This journal provides a platform for the educationist of higher education from Indian community to share their research ideas, information and experience as well as ideas about the role of education in today's society. This journal includes and seeks contributions of research articles specifically on any aspects from primary education to higher education generally. The journal Sanshodhan Chetana seeks to meet the needs of principals and directors of education, research scholars, teachers and teacher educators from various faculties.

Publish quality Research Paper/ Article for Free

You are using an outdated browser. Please upgrade your browser to improve your experience.

State Council Of Educational Research And Training, Maharashtra

आंतरराष्ट्रीय गुणवत्ता कक्ष

International Quality Cell

D.El. Ed. Admission, 2024-25

Click below link for more details

Learning Outcomes

State Council of Educational Research & Training(SCERT), Maharashtra.

Latest News & Updates

Go to main website.

  • ई-साहित्य निर्मितीसाठी आवश्यक साहित्य खरेदी करण्यासाठी दरपत्रक सूचना
  • मराठी माध्यम शैक्षणिक दिनदर्शिका
  • उर्दू माध्यम शैक्षणिक दिनदर्शिका
  • हिंदी माध्यम शैक्षणिक दिनदर्शिका
  • दि. १४ जून २०२१ पासून डी. डी. सह्याद्री वाहिनीवर प्रक्षेपित होणाऱ्या शैक्षणिक कार्यक्रमाचे वेळापत्रक उपलब्ध करून देण्यात आलेले आहे.
  • कोव्हिड – १९ काळातील अभ्यासमाला
  • SCERT Pehlay Akshar Program on DD Sahyadri
  • NSQF अंतर्गत व्यावसायिक विषयांचा २५ % कमी करण्यात आलेल्या पाठ्यक्रमाबाबत
  • इयत्ता १० वी १२ वी विषय शंका समाधान
  • आंतरराष्ट्रीय मातृभाषा दिन उत्सव - २१ फेब्रुवारी
  • कन्नड व पंजाबी या विषयांचा २५% अभ्यासक्रम कमी
  • राज्यातील इ. १० वी व १२ वी च्या विद्यार्थ्यांना शैक्षणिक मार्गदर्शन व समुपदेशन उपलब्ध करून देणेबाबत
  • मूल्यवर्धन यशोगाथा
  • इयत्ता नववी व दहावी : दिव्यांग विद्यार्थी कार्याशिक्षण, शरीरशास्त्र, आरोग्यशास्त्र व गृहशास्त्र या विषयांचा २५ % कमी केलेला पाठ्यक्रमाबाबत
  • तत्कालीन महाराष्ट्र आंतरराष्ट्रीय शिक्षण मंडळ संलग्नित ८१ शाळांसाठी शिक्षक मार्गदर्शिका पूरक साहित्य २०२०-२१
  • शैक्षणिक वर्ष २०२०-२०२१ साठी कमी करण्यात आलेल्या जर्मन विषयाच्या इयत्ता ११ वी व इयत्ता १२ वी अभ्यासक्रमाबाबत
  • राष्ट्रीय शैक्षणिक धोरण २०२० ऑनलाईन स्पर्धा निकाल
  • विषय योजना व सुधारित मूल्यमापन योजना
  • शैक्षणिक वर्ष २०२०-२०२१ साठी कमी करण्यात आलेला पाठ्यक्रम
  • वस्तू सेवा कर ( जीएसटी) व आयकर कपातीचे रिटर्न ऑनलाईन विवरणपत्रे भरण्याकरिता दरपत्रक मागविणे बाबत
  • हिंदी भाषा शैक्षणिक दिनदर्शिका
  • D.El. Ed. Admission, 2020-21
  • KPALP( केंद्रप्रमुख शैक्षणिक नेतृत्व कार्यक्रम) अंतर्गत घेण्यात आलेल्या वेबिनार मधील PPT येथे पाहता येईल.
  • कोरोना (COVID-19) च्या पार्श्वभूमीवर जीवन शिक्षण चे अंक सद्यस्थितीमध्ये शाळांपर्यंत Hard copy मध्ये पोहचविणे शक्य नसल्यामुळे ते येथे प्रसिद्ध केले जाणार आहेत.
  • व्यावसायिक शिक्षण (Vocational Education ) अभ्यासक्रम समिती सदस्य निवडीसाठी आवेदनपत्र
  • Learning Outcomes Booklet (Marathi)
  • Learning Outcomes Booklet (English)
  • Learning Outcomes : Part-1 (Standard : 1st to 5th)
  • संकलित मूल्यमापन १ चाचणी इयत्ता ७ वी इंग्रजी ( तृतीय भाषा ) प्रश्नपत्रिकेतील गुणदानातील बदलाबाबत
  • संकलित मूल्यमापन १ चाचणी शाळा भेट प्रपत्र भरण्यासाठी येथे क्लिक करा.
  • राज्यातील अधिकारी/कर्मचारी यांनी दिलेल्या शाळा भेटीचा तपशील पाहण्यासाठी येथे क्लिक करा.

Vivekanand College

  • Courses Offered
  • Teacher's Profile
  • Co-curricular Activities
  • Extension Activities
  • Research Output
  • Students' Progression
  • Workshops / Seminars
  • Other Important Links

Department of Marathi

2. Dr. Pradip Yashwant Patil

3. Dr. Swapnil Buchade

Style Options

Color scheme, show top bar, dark & light, default layout.

Experimental Evaluation of Deep Learning Models for Marathi Text Classification

  • Conference paper
  • First Online: 10 January 2022
  • Cite this conference paper

education research paper in marathi

  • Atharva Kulkarni 11 ,
  • Meet Mandhane 11 ,
  • Manali Likhitkar 11 ,
  • Gayatri Kshirsagar 11 ,
  • Jayashree Jagdale 11 &
  • Raviraj Joshi 12  

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 237))

941 Accesses

9 Citations

The Marathi language is one of the prominent languages used in India. It is predominantly spoken by the people of Maharashtra. Over the past decade, the usage of language on online platforms has tremendously increased. However, research on Natural Language Processing (NLP) approaches for Marathi text has not received much attention. Marathi is a morphologically rich language and uses a variant of the Devanagari script in the written form. This works aims to provide a comprehensive overview of available resources and models for Marathi text classification. We evaluate CNN, LSTM, ULMFiT, and BERT based models on two publicly available Marathi text classification datasets and present a comparative analysis. The pre-trained Marathi fast text word embeddings by Facebook and IndicNLP are used in conjunction with word-based models. We show that basic single layer models based on CNN and LSTM coupled with FastText embeddings perform on par with the BERT based models on the available datasets. We hope our paper aids focused research and experiments in the area of Marathi NLP.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
  • Available as EPUB and PDF
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

education research paper in marathi

Deep Learning for Hindi Text Classification: A Comparison

education research paper in marathi

End-to-End Neural Text Classification for Tibetan

education research paper in marathi

Evaluation and Analysis of the NLP Model Zoo for Ukrainian Text Classification

Akhtar MS, Ekbal A, Bhattacharyya P (2016) Aspect based sentiment analysis in hindi: resource creation and evaluation. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16), pp 2703–2709

Google Scholar  

Al-Amin M, Islam MS, Uzzal SD (2017) Sentiment analysis of Bengali comments with word2vec and sentiment information of words. In: 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, pp 186–190

Arora G (2020) inltk: Natural language toolkit for indic languages. arXiv preprint arXiv:2009.12534

Arora P (2013) Sentiment analysis for hindi language. MS by Research in Computer Science

Bolaj P, Govilkar S (2016) Text classification for Marathi documents using supervised learning methods. Int J Computer Appl 155(8):6–10

Conneau A, Lample G (2019) Cross-lingual language model pretraining. In: Advances in neural information processing systems, pp 7059–7069

Devlin J, Chang MW, Lee K, Toutanova K (2018) Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805

Howard J, Ruder S (2018) Universal language model fine-tuning for text classification. arXiv preprint arXiv:1801.06146

Joshi A, Prabhu A, Shrivastava M, Varma V (2016) Towards sub-word level compositions for sentiment analysis of hindi-english code mixed text. In: Proceedings of COLING 2016, the 26th International conference on computational linguistics: Technical Papers, pp 2482–2491

Joshi R, Goel P, Joshi R (2019) Deep learning for hindi text classification: a comparison. In: International conference on intelligent human computer interaction. Springer, Berlin, pp 94–101 (2019)

Joulin A, Grave E, Bojanowski P, Mikolov T (2016) Bag of tricks for efficient text classification. arXiv preprint arXiv:1607.01759

Kakwani D, Kunchukuttan A, Golla S, Bhattacharyya A, Khapra MM, Kumar P (2020) Indicnlpsuite: monolingual corpora, evaluation benchmarks and pre-trained multilingual language models for indian languages. Findings of EMNLP

Kim Y (2014) Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882

Kowsari K, Jafari Meimandi K, Heidarysafa M, Mendu S, Barnes L, Brown D (2019) Text classification algorithms: a survey. Information 10(4):150

Article   Google Scholar  

Kudo T, Richardson J (2018) Sentencepiece: a simple and language independent subword tokenizer and detokenizer for neural text processing. arXiv preprint arXiv:1808.06226

Pal AR, Saha D, Dash NS (2015) Automatic classification of Bengali sentences based on sense definitions present in bengali wordnet. arXiv preprint arXiv:1508.01349

Patil, HB, Patil AS (2017) Mars: a rule-based stemmer for morphologically rich language marathi. In: 2017 International conference on computer, communications and electronics (Comptelix). IEEE, pp 580–584

Patil JJ, Bogiri N (2015) Automatic text categorization: Marathi documents. In: 2015 International conference on energy systems and applications. IEEE, pp 689–694

Patra BG, Das D, Das A (2018) Sentiment analysis of code-mixed Indian languages: An overview of sail\_code-mixed shared task@ icon-2017. arXiv preprint arXiv:1803.06745

Patra BG, Das D, Das A, Prasath R (2015) Shared task on sentiment analysis in Indian languages (sail) tweets-an overview. In: International conference on mining intelligence and knowledge exploration. Springer, Berlin, pp. 650–655

Pires T, Schlinger E, Garrette D (2019) How multilingual is multilingual bert? arXiv preprint arXiv:1906.01502

Sarkar K, Bhowmick M (2017) Sentiment polarity detection in Bengali tweets using multinomial naïve bayes and support vector machines. In: 2017 IEEE Calcutta conference (CALCON). IEEE, pp 31–36

Suárez PJO, Sagot B, Romary L (2019) Asynchronous pipeline for processing huge corpora on medium to low resource infrastructures. In: 7th Workshop on the Challenges in the Management of Large Corpora (CMLC-7). Leibniz-Institut für Deutsche Sprache

Vispute SR, Potey M (2013) Automatic text categorization of Marathi documents using clustering technique. In: 2013 15th International Conference on Advanced Computing Technologies (ICACT). IEEE, pp 1–5

Wenzek G, Lachaux MA, Conneau A, Chaudhary V, Guzmán F, Joulin A, Grave E (2019) Ccnet: Extracting high quality monolingual datasets from web crawl data. arXiv preprint arXiv:1911.00359

Download references

Acknowledgements

This work was done under the L3Cube Pune mentorship program. We would like to express our gratitude towards our mentors at L3Cube for their continuous support and encouragement.

Author information

Authors and affiliations.

Pune Institute of Computer Technology, Pune, Maharashtra, India

Atharva Kulkarni, Meet Mandhane, Manali Likhitkar, Gayatri Kshirsagar & Jayashree Jagdale

Indian Institute of Technology Madras, Chennai, Tamil Nadu, India

Raviraj Joshi

You can also search for this author in PubMed   Google Scholar

Editor information

Editors and affiliations.

Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

Vinit Kumar Gunjan

Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

Jacek M. Zurada

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper.

Kulkarni, A., Mandhane, M., Likhitkar, M., Kshirsagar, G., Jagdale, J., Joshi, R. (2022). Experimental Evaluation of Deep Learning Models for Marathi Text Classification. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Lecture Notes in Networks and Systems, vol 237. Springer, Singapore. https://doi.org/10.1007/978-981-16-6407-6_53

Download citation

DOI : https://doi.org/10.1007/978-981-16-6407-6_53

Published : 10 January 2022

Publisher Name : Springer, Singapore

Print ISBN : 978-981-16-6406-9

Online ISBN : 978-981-16-6407-6

eBook Packages : Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0)

Share this paper

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • Publish with us

Policies and ethics

  • Find a journal
  • Track your research

education research paper in marathi

बाबाजी दाते कला आणि वाणिज्य महाविद्यालय, यवतमाळ 

Babaji datey kala & vanijya mahavidyalaya, yavatmal, (वाणिज्य महाविद्यालय, यवतमाळ ट्रस्ट रजि. क्र. ई-३२ द्वारा संचालित), naac accredited b++ grade with cgpa 2.82.

education research paper in marathi

Research Papers 2020-2021

Research Paper 2020-2021

education research paper in marathi

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

  •  We're Hiring!
  •  Help Center

Marathi Language

  • Most Cited Papers
  • Most Downloaded Papers
  • Newest Papers
  • Save to Library
  • Last »
  • Maratha History Follow Following
  • Marathi literature Follow Following
  • Philosophy of Social Sciences Follow Following
  • Hindi Urdu Language and Literature Follow Following
  • Dual-language/bilingual/multilingual classroom contexts Follow Following
  • Folk literature Follow Following
  • Literary Geography Follow Following
  • Language Acquisition and Development Follow Following
  • Yuri Lotman Follow Following
  • Library 2.0 Follow Following

Enter the email address you signed up with and we'll email you a reset link.

  • Academia.edu Publishing
  •   We're Hiring!
  •   Help Center
  • Find new research papers in:
  • Health Sciences
  • Earth Sciences
  • Cognitive Science
  • Mathematics
  • Computer Science
  • Academia ©2024

Speech based Research on Marathi Educational Chatbot

Ieee account.

  • Change Username/Password
  • Update Address

Purchase Details

  • Payment Options
  • Order History
  • View Purchased Documents

Profile Information

  • Communications Preferences
  • Profession and Education
  • Technical Interests
  • US & Canada: +1 800 678 4333
  • Worldwide: +1 732 981 0060
  • Contact & Support
  • About IEEE Xplore
  • Accessibility
  • Terms of Use
  • Nondiscrimination Policy
  • Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

SHIKSHAN SANSHODHAN  [ ISSN(O): 2581-6241 ]  Peer-Reviewed, Referred, Indexed Research Journal. Impact Factor :   6.831

SHIKSHAN SANSHODHAN [ ISSN(O): 2581-6241 ] Peer-Reviewed, Referred, Indexed Research Journal. Impact Factor : 6.831

Research Paper, Article Publication in Hindi, Gujarati, Sanskrit, English and other National Languages.

Shikshan Sanshodhan :  Journal of Arts, Humanities and Social Sciences  

शिक्षण संशोधन  :  कला, मानविकी और सामाजिक विज्ञान जर्नल

Monthly, Peer-Reviewed, Refereed, Indexed Research

Journal run by ‘Research Culture Society’  (International Scientific Research Organization).

Publication in Asian and European Countries Languages :   Multilingual Publications.  

Impact Factor :  6.831 

  • Shikshan Sanshodhan is an Open-Access, Peer-Reviewed, Indexed, Refereed Research Journal.
  • Author Research Guidelines & Support.
  • Platform to researchers and scholars of different study fields and languages.
  • Reliable, Easy and Rapidly growing Publication with nominal processing charge.
  • Communication of authors to get the manuscript status time to time.
  • Full text of all articles in the form of PDF format and Digital Object Identification DOIs.
  • Individual copy of “Certificate of Publication” to all Authors of Paper.
  • Indexing of Journal in major online journal databases like Google Scholar, Academia, Scribd, Mendeley.
  • Open Access Journal Database for High visibility and promotion of your article with keyword and abstract.
  • Future Students
  • Current Students
  • Faculty/Staff

Stanford Graduate School of Education

News and Media

  • News & Media Home
  • Research Stories
  • School's In
  • In the Media

You are here

Stanford-led study links school environment to brain development.

Children with teacher in an elementary school classroom

For decades, researchers have linked differences in school-age children’s brain development to their out-of-school environment, using indirect socioeconomic factors such as parental income and neighborhood characteristics. 

In a new paper , researchers from Stanford Graduate School of Education (GSE) demonstrate for the first time that, even when controlling for those other factors, there is a direct link between a child’s school environment and the development of their white matter, or the network of nerve fibers that allows different parts of the brain to communicate. 

In other words, schools that do better than average at promoting learning are showing greater year-by-year advances in brain development, even for students coming from a wide range of socioeconomic environments. 

For their study, the authors, including GSE doctoral candidate Ethan Roy , Professor Bruce McCandliss , and Associate Professor Jason Yeatman , leveraged data from the Adolescent Brain Cognitive Development (ABCD) Study, the largest long-term study of brain development and child health in the United States, and the Stanford Education Data Archive (SEDA), a national database of academic performance developed by the Educational Opportunity Project at Stanford University. 

Their findings show that children who attend higher-performing schools have accelerated white matter development, including in an area of the brain closely associated with reading skills.

Roy said the results, published in Developmental Cognitive Neuroscience on April 26, were “striking.”

“What jumped off the page for us is that, even when controlling for things like parental income, parental education, neighborhood context, and household conflict levels, we were still able to observe a significant relationship between the school environment of an individual and growth properties of their brain,” he said.

Filling a gap in learning science research

Yeatman, who along with McCandliss serves as an advisor to Roy, said the study is the first to show how variation in the educational opportunities afforded to children is related to brain development.

“Essentially, two children from similar families who are born on two sides of a school boundary have measurable differences in how their brains wire together,” said Yeatman, who holds a joint faculty appointment at the GSE and Stanford Medicine, is a faculty affiliate of the Stanford Accelerator for Learning , and directs the Brain Development & Education Lab and Rapid Online Assessment of Reading . 

The study looked at fractional anisotropy, a measure of how water moves through brain tissue and an indication of how insulated, or myelinated, a neuron’s axons are (higher myelination increases the speed of transmission between neurons and is associated with improved learning). The observational results show that fractional anisotropy is directly linked to a school’s national grade equivalence score, or a measure of how third graders from that school perform compared with the national average.

The paper fills a gap in learning science research. Although past studies have linked socioeconomic status to white matter development, they have not been able to focus in on specific attributes of a child’s development, such as the school they attend. Other research — including from Yeatman’s lab — has shown that educational interventions can lead to changes in white matter, but those have been relatively small-scale studies with participants who are not representative of the broader population. 

“This is one of the first cases where we can measure the thing we actually care about at the population level,” Yeatman said.

The authors also trained a deep learning model to conduct a global analysis of white matter, finding that children who attend schools with higher SEDA scores had brains that appeared developmentally “more mature” than their chronological age.

A measurable impact

The implications are “potentially game-changing,” said McCandliss, who directs the Stanford Educational Neuroscience Initiative (SENSI) and is a faculty affiliate of the Stanford Accelerator for Learning. 

“National discussions of the importance of elementary school quality have never before been framed in terms of having a measurable impact on physical brain development of our young children,” he said. “I think this changes the frame of the discussion and decision-making around the impact of inequity.”

The study was only possible because of the comprehensive data included in the ABCD Study and SEDA, the researchers said. McCandliss, an investigator in the ABCD Study, first approached the ABCD team leaders about linking the SEDA data with the ABCD data in 2018, and his SENSI team spent about two years creating the resulting “crosswalk.” 

McCandliss called the ABCD study a “dream come true,” and the linked data a way to “finally” answer “elusive questions about how inequities in educational opportunities may actually be changing the course of physical and functional brain development during the vulnerable elementary school years across the nation.”

To analyze the brain white matter from the MRI data included in the ABCD study, the authors used pyAFQ , an open-source software developed by Yeatman’s lab. “It was a really fruitful collaboration across both labs,” Roy said.

The authors hope their methods and the newly linked ABCD and SEDA data, which is now freely available to a community of registered researchers around the world, will allow other scholars to pursue their own ideas and hypotheses at the intersection of education and neuroscience.

Yeatman said the methods and data used in the study will allow researchers to be more precise about environmental factors linked to brain development and the mechanisms behind those connections.

“The environment influences brain development,” he said. “That’s obvious. But what about the environment influences brain development? This is the first step in actually unraveling that specificity.”

More Stories

Albaraa Basfar, a Stanford postdoc in a pilot fellowship program led by the GSE and the School of Medicine, presents research in progress at a meeting in March.

⟵ Go to all Research Stories

Get the Educator

Subscribe to our monthly newsletter.

Stanford Graduate School of Education

482 Galvez Mall Stanford, CA 94305-3096 Tel: (650) 723-2109

  • Contact Admissions
  • GSE Leadership
  • Site Feedback
  • Web Accessibility
  • Career Resources
  • Faculty Open Positions
  • Explore Courses
  • Academic Calendar
  • Office of the Registrar
  • Cubberley Library
  • StanfordWho
  • StanfordYou

Improving lives through learning

Make a gift now

  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Non-Discrimination
  • Accessibility

© Stanford University , Stanford , California 94305 .

Doctoral students in Mathematics Education and Teacher Education and Teacher Development present at national conference

Posted in: Research Presentations

John O'Meara and Shanna Anderson at NARST conference

John O’Meara, PhD student in Mathematics Education, presented a paper with Shanna Anderson, PhD student in Teacher Education and Teacher Development (TETD), at the National Association of Research in Science Teaching (NARST) conference in Denver, CO on March 19, 2024. They presented their work on Social Network Maps: Supporting STEM Teacher Leaders and Characterizing the Phenomenon of Teacher Leadership, funded by the Wipro Science Education Fellowship grant.

They represented their research team, which includes Drs. Mika Munakata , Emily Klein and Monica Taylor (College of Education and Engaged Learning) and Tim Aberle (PhD student in TETD). Congratulations, all!

General Inquiries

Call today to schedule an appointment or fill out an online request form. If requested before 2 p.m. you will receive a response today.

713-798-1000

Monday - Friday 8 a.m. - 5 p.m.

Request Now

Request non-urgent appointments

Find a Physician

get-to-know-houston

America's fourth largest city is a great place to live, work and play. Find out why. Get to Know Houston

linkedin

Give Careers Intranet

facebook

  • Baylor College of Medicine

2024 Michael E. DeBakey Excellence in Research Awards

2024 DeBakey Award winners

Graciela Gutierrez

713-798-4710

Share this article

linkedin

This year’s Michael E. DeBakey Excellence in Research Awards were given to six faculty members at Baylor College of Medicine in recognition of their outstanding published scientific contributions to clinical and basic science research over the past three years.

The recipients are Dr. Bing Zhang, Dr. Leonid Metelitsa, Dr. Maksim Mamonkin, Dr. Robert Atmar, Dr. Jeffrey C. Magee and Dr. Christine Beeton.

The award ceremony included a recorded message from Dr. Paul Klotman, Baylor president, CEO and executive dean, congratulating the group. He added their accomplishments exemplify the outstanding work across all mission of Baylor College of Medicine.

Each awardee, who gave a presentation on their most recent work, was introduced by Dr. Carolyn Smith, professor, dean of the Graduate School of Biomedical Sciences and interim senior vice president and dean of research at Baylor. She described their significant contributions to their fields of study and how each discovery moves us towards improving human health and patient care.

The awards are named in honor of pioneering heart surgeon Dr. Michael DeBakey, the first president of Baylor College of Medicine, and sponsored by the DeBakey Medical Foundation. The DeBakey Medical Foundation was first established in 1961. Through his groundbreaking advancements in cardiovascular surgery, DeBakey impacted the lives of countless patients and established this organization to continue that momentum of innovation and advancing healthcare well into the future.

Dr. Bing Zhang Professor - Department of Molecular and Human Genetics.

Dr. Bing Zhang has significantly advanced our understanding of cancer biology, improved data analysis methodologies and broadened data accessibility resources for the scientific community.

By conducting a comprehensive proteogenomic characterization of pancreatic cancer, lung squamous cell carcinoma, head and neck cancer and uterine cancer, he has enhanced our understanding of these conditions. His work has uncovered potential therapeutic targets, identified proteins for early detection, highlighted targetable points of immune regulation and illuminated key mechanisms for immune evasion. These studies showcase the power of integrated proteogenomic analysis in providing functional context for interpreting genomic abnormalities.

Zhang also has made notable contributions to computational proteomics, introducing a graph theory-based method designed to enhance the characterization of protein isoforms – different forms of a protein – a long-standing challenge in the field. His team also developed a web portal with 40,000 gene-, protein-, mutation- and phenotype-centric web pages featuring innovative visualization techniques designed to enhance comprehension and reasoning for the advancement of both basic and translational cancer research.

Zhang earned his bachelor's degree from Nanjing University in Nanjing, China, his Ph.D. from Chinese Academy of Sciences in Shanghai, and completed his postdoctoral training at Oak Ridge National Laboratory in Tennessee. He is a McNair Scholar and a member of the Dan L Duncan Comprehensive Cancer Center and the Lester and Sue Smith Breast Center. 

Dr. Leonid Metelitsa Professor of Pediatrics – Hematology and Oncology

Dr. Leonid Metelitsa is an internationally recognized leader in the field of natural killer T cell (NKTs) research, for bringing research bench to bedside, and as a leading expert in pediatric cancer immunotherapy. 

His group was among the first to demonstrate that NKTs localize to primary tumors and that their presence at tumor sites is associated with positive clinical outcomes. Metelitsa has demonstrated success in developing NKT cell therapy to target high-risk neuroblastoma, an aggressive pediatric cancer. 

The technologies developed in his lab for human NKT cell isolation, genetic modification with chimeric antigen receptors (CARs), and expansion to clinical scale have led to first-in-human clinical trials of CAR-NKT cells and “off-the-shelf” allogeneic NKT cells with licensing to industry. The encouraging results from his research pave the way for the development of next-generation treatments of cancer and other diseases.

Metelitsa is the director of the Center for Advancer Innate Cell Therapy and associate director of Texas Children’s Cancer Center where he leads the research efforts for the development and clinical testing of cancer immunotherapy. He also is a member of Baylor’s Dan L Duncan Comprehensive Cancer Center and Center for Cell and Gene Therapy. His research has been continuously supported by the National Institutes of Health, National Cancer Institute, Department of Defense, Cancer Prevention and Research Institute of Texas, Leukemia and Lymphoma Society and other institutions.

He attended medical school at Tver State Medical University in Tver, Russia, and later earned a Ph.D. from N.N. Blokhin Memorial Cancer Research Center of Russian Federation in Moscow. He completed his postdoctoral work at the Children’s Hospital Los Angeles/Keck School of Medicine, University of Southern California, in Los Angeles. 

Dr. Maksim Mamonkin Associate Professor in Department of Pathology & Immunology and the Center for Cell and Gene Therapy.

Dr. Maksim Mamonkin is a translational immunologist engineering cellular therapies for hematologic malignancies and other diseases . He has made major advances in translational immunology, including shaping a new direction in cell therapy of T cell malignancies and a new cell therapy concept in T cell mediated auto- and alloimmunity.

His laboratory in the Center for Cell and Gene Therapy utilizes fundamental immunology and synthetic biology to create effective cell therapies against treatment-refractory cancers. His group has led translational development of chimeric antigen receptor T-cell therapies of T-lineage leukemia, lymphoma, and acute myeloid leukemia that are being evaluated in three ongoing Phase I clinical trials at Baylor. His research resulted in multiple publications in leading journals and the technologies have been licensed to several biotech companies. Mamonkin’s research is supported by the National Institutes of Health, CPRIT, the Leukemia and Lymphoma Society, the American Society for Hematology and Stand Up To Cancer, among others. 

Mamonkin is a member of the Dan L Duncan Comprehensive Cancer Center at Baylor and also is the scientific co-founder and chief scientific officer of March Biosciences, a clinical-stage biotech company developing engineered T cells for diseases with high unmet clinical need. 

He earned his bachelor's degree from Novosibirsk State University in Novosibirsk, Russia before joining Baylor in 2007 as a graduate student in the Immunology program. He completed his postdoctoral training with Dr. Malcolm K. Brenner at the Center for Cell and Gene Therapy at Baylor.

Dr. Robert Atmar Professor of Medicine in the Section of Infectious Disease and of Molecular Virology and Microbiology

Dr. Robert Atmar is an expert in infectious disease, well known for his work in intestinal and respiratory viruses as well as vaccine evaluation. Most recently, his work has provided lasting data on strategies for boosting COVID-19 research and immunity. He has helped lead the U.S. response to the pandemic as an investigator and scientific leader.

Even prior to the development of a COVID-19 vaccine, Atmar recognized that vaccine boosters were critical to immunity. During the height of the pandemic, his research played a pivotal role in providing data on strategic ways to boost COVID-19 immunity with vaccines for the original SARC-CoV-2 strain and other variants that continue today.

Atmar is one of the longest-standing members of Baylor’s Vaccine Treatment and Evaluation Unit (VTEU), which conducts translational research on vaccine candidates, including vaccines for influenza, neglected tropical diseases and agents that could be used as bioweapons. He serves in a national leadership role for that network of VTEUs as the co-director of the Clinical Operations Unit of the Infectious Diseases Clinical Research Consortium. He has published more than 250 peer-reviewed papers and nearly 40 book chapters. 

Atmar earned his bachelor’s degree from Texas A&M University before attending Baylor College of Medicine for his M.D. He completed a research fellowship, residency and clinical fellowship at Baylor College of Medicine’s affiliated hospitals and currently is the John S. Dunn Research Foundation Chair in Infectious Diseases at Baylor.

Dr. Jeffrey C. Magee Professor of Neuroscience

Dr. Jeffrey C. Magee, a distinguished neuroscientist, has made significant contributions to our understanding of fundamental hippocampal mechanisms related to learning and memory by answering longstanding questions about how information about the environment is stored and updated in the hippocampus. 

His groundbreaking work has reshaped our understanding of synaptic plasticity, the communication between neurons, particularly through a novel mechanism he discovered called Behavioral Timescale Synaptic Plasticity (BTSP).

This new form of plasticity operates differently from previously described mechanisms. Unlike traditional models that rely on precise timing of pre- and post-synaptic events, or many repeated events, BTSP uses a dedicated plasticity signal to regulate synaptic strength. By triggering a substantial calcium channel spike in dendrites, BTSP can induce dramatic changes in synaptic connections, even from a single event. His work directly demonstrates that BTSP is needed for the modification in hippocampal population activity that underlies learning. 

Magee’s research career began at Tulane University where he earned his Ph.D. after attending Louisiana State University for his bachelor's degree. His postdoctoral work was completed at Baylor before starting his own lab at LSU Medical Center. He then moved on to the Howard Hughes Medical Institute’s Janelia Research Campus as a group leader. He returned to Baylor in 2017 as an HHMI Investigator in the Department of Neuroscience. He also is the Cullen Foundation Distinguished Endowed Chair at the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital.

Dr. Christine Beeton Academic Director, Cytometry and Cell Sorting Core; Director, Graduate Program in Immunology & Microbiology; Professor, Integrative Physiology

Dr. Christine Beeton is well known for her groundbreaking work on the identification of therapeutic targets and the design of novels treatments for rheumatoid arthritis. Her research also focuses on using antioxidant nanomaterials for the treatment of other T lymphocyte-mediated autoimmune diseases, like multiple sclerosis. 

She developed recombinant analogs of sea anemone and of scorpion venom toxins to block the Kv1.3 channel on effector memory T lymphocytes and showed their efficacy in animal models of rheumatoid arthritis and other autoimmune diseases. 

Beeton previously identified the KCa1.1 potassium channel as a regulator of fibroblast-like synoviocytes (FLS), a cell type found in joints that unregulated can lead to inflammation and pain. She found that if the flow of FLS through the KCa1.1 channel could be inhibited, so would the RA disease severity. Iberiotoxin, a component of scorpion venom, was identified as being able to block the KCa1.1 channel to regulate FLS flow, while allowing otherwise normal cell function. This treatment method saw a stopped progression of RA and even showed signs of the effects of RA being reversed. 

Beeton has created non-invasive methods for peptide drug delivery, eliminating the need for repeated injections, which is a major hurdle in the delivery of small peptides as drugs for chronic diseases. Her team bioengineered a probiotic bacterium to secrete one of her Kv1.3-blocking venom peptide analogs for its oral delivery, finding it to be more effective than the injected peptide in stopping disease progression in lab models of RA. 

Beeton earned her Ph.D. from Faculté des Sciences de Luminy, Université de la Méditerranée in Marseille, France, and completed her postdoctoral fellowship at the University of California, Irvine. 

back-to-top

IMAGES

  1. (PDF) Teaching of Marathi Language

    education research paper in marathi

  2. CBSE Class 12 Marathi Sample Paper 2024 (PDF with Solutions)

    education research paper in marathi

  3. How to write a Research Paper (Marathi)

    education research paper in marathi

  4. Institute of Management Education Research and Training(IMERT)

    education research paper in marathi

  5. CBSE Class 12 Sample Paper 2020 for Marathi

    education research paper in marathi

  6. Essay On Importance Of Education In Marathi

    education research paper in marathi

VIDEO

  1. How Technology Has Affected Education?

  2. ७.दुपार-Std 9th Marathi lesson no 7 workbook answers

  3. 10th SSC 2019 Marathi question paper

  4. मराठी भाषा संवर्धन निबंध

  5. 9thstd unit test2 marathi question paper/ Marathi question paper 9th/ Marathi question for 9th class

  6. माझी शाळा मराठी निबंध/ Mazi Shala Marathi Nibandh/माझी शाळा निबंध मराठी/Majhi Shala Essay in Marathi

COMMENTS

  1. Journal

    The mouthpiece of Indian Institute of Education namely, "शिक्षण आणि समाज" (Education and Society) publishes the articles, research papers in Marathi, Hindi and English language. ... research papers in Marathi, Hindi and English language. It has ISSN 2278-6864 and it is also UGC CARE listed periodical. The details ...

  2. PDF राष्ट्रय शिक्षण धोरण

    राष्ट्रय शिक्षण धोरण 2020 0 Marathi/मराठ राष्ट्रय शिक्षण धोरण 2020 शिक्षण मंत्रालय

  3. राष्ट्रीय शैक्षणिक धोरण 1968, 1986 व 2020 (National Education Policy

    The National Education Policy, which came out in 1968, was based on the recommendations of the Kothari Commission. It had free and compulsory education up to the age of 14, teacher training and qualification, three language formula, equal opportunity for education for all, 10+2+3 structure. 1986 policy implemented by Rajiv Gandhi.

  4. Shodhganga@INFLIBNET: Department of Marathi

    The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access. ... Marathi Kadambaricha Roopbandh Prarambh te 2014 madhil nivdak Marathi Kadambaryanchya anushangane: Khot A N: Joshi Nila: 21-Dec-2022:

  5. Sanshodhan Chetana, An Educational Research Journal

    Sanshodhan Chetana is an Educational Research Journal peer-reviewed and published quarterly in English and Marathi language. This journal provides a platform for the educationist of higher education from Indian community to share their research ideas, information and experience as well as ideas about the role of education in today's society.

  6. (PDF) Research Library & Services (Marathi language)

    Abstract. Research Library provides research-level collections and services in the humanities, social sciences, education, public affairs, government information, and maps, primarily designed to ...

  7. अध्ययन-अध्यापनप्रक्रियेत वाचन कौशल्याचे महत्त्व (The Importance of

    The text that is given to students of Marathi and Marathi literature to read is like running a word train. There are some important steps in developing reading skills. It is imperative for the professors to conduct the study of previews, foreknowledge, visualization, approach, group reading, group discussion and punctuation from students.

  8. (PDF) Educational Reserdch Shodha Sarasha (Marathi) (शैक्षणिक संशोधन

    In the present research paper, the researcher studied the comparative study of attitude towards research among the teachers at the Secondary level.

  9. State Council of Educational Research & Training(SCERT), Maharashtra

    Maharashtra State Council Of Educational Research And Training. Skip to Main Page. Switch to. Toggle navigation. Home; Departments. Department. Research Section ; Extention Section; Education Cell; ... (Marathi) Learning Outcomes Booklet (English) Learning Outcomes : Part-1 (Standard : 1st to 5th)

  10. Analysis of National Education Policies of India (Marathi)

    Academia.edu is a platform for academics to share research papers. Analysis of National Education Policies of India (Marathi) (PDF) Analysis of National Education Policies of India (Marathi) | Dipesh Karmarkar - Academia.edu

  11. research papers, Department of Marathi, Vivekanand College, Kolhapur

    June, 2022. 2319-6025. 8. Marathi Kadambarit Chitrit Bhatakya Vimukat Jamatinche Samajik Jivan. Vivek Research Journal. March, 2022. 2249-295x. research papers, Department of Marathi, Vivekanand College, An Autonomous College in Kolhapur.

  12. Experimental Evaluation of Deep Learning Models for Marathi Text

    It is native to the state of Maharashtra and also spoken in Goa and some regions of western India. Despite leading in education and economy, NLP research in Marathi has not received much attention in Maharashtra. In contrast research in Hindi has been much more significant [1, 4, 9, 10, 20] followed by Bengali [2, 16, 19, 22].

  13. PDF arXiv:2101.04899v2 [cs.CL] 14 Jan 2021

    Despite leading in education and economy, NLP research in Marathi has not received much attention in Maharashtra. In contrast research in ... There has been very little research done on Marathi NLP. Recently, (Kakwani et al., 2020) ... paper. An NLP library for Indian languages iNLTK is presented in (Arora, 2020). It consists of

  14. Research Papers 2020-2021

    Research Papers 2020-2021. Research Paper 2020-2021. Sr. No. Name of Teacher: ... Vijay Tendulkar And His Significant Contribution To Marathi Theatre: 13: Prof. Dr. Sachin S. Jaiswal: ... Comparative Study of Computer Application Knowledge Among Various Professional Education Students: 23:

  15. PDF तृतीय वर ्ष कला सत्र अभयासपत्त्रका क्र.

    Elective Course IX A - Research Methodology and Sources of History Objectives: 1. To teach students basics of research methodology in history with a view to promote historical research. 2. To understand the various kinds of sources of history and its interpretation. 3. To acquaint students with the new trends and approaches in history writing.

  16. Experimental Evaluation of Deep Learning models for Marathi Text

    arXiv:2101.04899v2 [cs.CL] 14 Jan 2021. Experimental Evaluation of Deep Learning models for Marathi T ext. Classification. Atharva Kulkarni 1, Meet Mandhane1, Manali Likhitkar1, Gayatri ...

  17. Marathi Language Research Papers

    This classification was created by Teramura (1975-1978), which is Japanese-specific and has been used in Japanese education for non-Japanese speakers to teach NMCs. This paper examines the similarities and differences of NMCs between Japanese and Marathi by applying the Teramura's classification.

  18. Research Methodology Marathi Version

    Research-Methodology-Marathi-Version - Free download as PDF File (.pdf), Text File (.txt) or read online for free.

  19. How to write a Research Paper (Marathi)

    concept, steps, criteria of research paper writing in marathi

  20. Speech based Research on Marathi Educational Chatbot

    In any interactive agent, providing a suitable answer plays a vital role in determining the success of that chatbot. Speech recognition API and google translate API are used to recognize the user's voice and text translation respectively. In this paper, Marathi speech based educational chatbot is proposed using naive bayes classifier. After performing preprocessing, Naive Bayes classifier is ...

  21. Educational मराठी

    Environment Project In Marathi Pdf | पर्यावरण शिक्षण व जलसुरक्षा प्रकल्प विषय ... मराठी या वेबसाईटवर upload केलेली सर्व माहिती ही Educational मराठी ची Original निर्मिती आहे ...

  22. Educational research

    Educational research refers to the systematic collection and analysis of evidence and data related to the field of education. Research may involve a variety of methods and various aspects of education including student learning, interaction, teaching methods, teacher training, and classroom dynamics.. Educational researchers generally agree that research should be rigorous and systematic.

  23. Research Paper, Article Publication in Hindi, Gujarati, Sanskrit

    SHIKSHAN SANSHODHAN [ ISSN(O): 2581-6241 ] Peer-Reviewed, Referred, Indexed Research Journal. Impact Factor : 6.831. Research Paper, Article Publication in Hindi, Gujarati, Sanskrit, English and other National Languages.

  24. Stanford-led study links school environment to brain development

    For decades, researchers have linked differences in school-age children's brain development to their out-of-school environment, using indirect socioeconomic factors such as parental income and neighborhood characteristics. In a new paper, researchers from Stanford Graduate School of Education (GSE) demonstrate for the first time that, even when controlling for those other

  25. Doctoral students in Mathematics Education and Teacher Education and

    John O'Meara, PhD student in Mathematics Education, presented a paper with Shanna Anderson, PhD student in Teacher Education and Teacher Development (TETD), at the National Association of Research in Science Teaching (NARST) conference in Denver, CO on March 19, 2024. They presented their work on Social Network Maps: Supporting STEM Teacher Leaders and Characterizing the […]

  26. 2024 Michael E. DeBakey Excellence in Research Awards

    713-798-4710. Houston, TX - May 22, 2024. Share this article. This year's Michael E. DeBakey Excellence in Research Awards were given to six faculty members at Baylor College of Medicine in recognition of their outstanding published scientific contributions to clinical and basic science research over the past three years.

  27. The Future of the Industry 2024: Updates from Graduate Preservation

    An Undergraduate Sustainability Education Innovation Grant from GT supported spring 2024 work at the NHLD Penn Center, SC, for "Sustainable Tourism: Engaged Digital Documentation and Interpretation" for the Race, Space, and Architecture in the US seminar. ... This is an exercise in material research, image collection, organization, and user ...