Dorottya (Dora) Demszky

Assistant Professor in Education Data Science

Graduate School of Education

Stanford University


You can click on the papers below to find code, data, slides and other relevant information associated with them.

Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform

Dorottya Demszky, Rose E Wang, Sean Geraghty, Carol Yu

The 14th Learning Analytics and Knowledge Conference (LAK '24), March 18--22, 2024, Kyoto, Japan, 2024 Mar

Improving Teachers’ Questioning Quality through Automated Feedback: A Mixed-Methods Randomized Controlled Trial in Brick-and-Mortar Classrooms

Dorottya Demszky*, Jing Liu*, Heather C. Hill, Shyamoli Sanghi, Ariel Chung

EdWorkingPapers, 2023

Using large language models in psychology

Dorottya Demszky*, Diyi Yang*, David S. Yeager*, Christopher J. Bryan, Margarett Clapper, Susannah Chandhok, Johannes C. Eichstaedt , Cameron Hecht, Jeremy Jamieson, Meghann Johnson, Michaela Jones, Danielle Krettek-Cobb, Leslie Lai, Nirel JonesMitchell, Desmond C. Ong, Carol S. Dweck, James J. Gross, James W. Pennebaker

Nature Reviews Psychology, 2023 Oct

Empowering Educators via Language Technology

Dorottya Demszky, Jeffrey B. Bush, Sidney K. D’Mello, Jennifer Jacobs, Isabelle Hau, Heather Hill, Jing Liu, Susanna Loeb, Bethanie Maples, Kylie Peppler, Rhea Pokorny, Matthew Rascoff, Jenny Robinson, David Yeager, Laura Wentworth

2023 Oct

“Mistakes Help Us Grow”: Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms

Kunal Handa, Margaret Clapper, Jessica Boyle, Rose E Wang, Diyi Yang, David S Yeager, Dorottya Demszky

Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Oct

Step-by-Step Remediation of Students' Mathematical Mistakes

Rose E. Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, Dorottya Demszky

arXiv, 2023 Oct

A Quantitative Study of Mathematical Language in Classrooms

Zachary Himmelsbach, Heather C. Hill, Jing Liu, Dorottya Demszky

EdWorkingPapers, 2023 Sep

M-Powering Teachers: Natural Language Processing Powered Feedback Improves 1:1 Instruction and Student Outcomes

Dorottya Demszky, Jing Liu

L@S '23: Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023 Jul

The NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts

Dorottya Demszky, Heather Hill

18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023 Jun

MD3: The Multi-Dialect Dataset of Dialogues

Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma


Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction

Rose Wang, Dorottya Demszky

18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023 Jun

SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts

Rose Wang, Pawan Wirawarn, Noah Goodman, Dorottya Demszky

Proceedings of Innovative Use of NLP for Building Educational Applications, 2023 Jun

Can Automated Feedback Improve Teachers’ Uptake of Student Ideas? Evidence From a Randomized Controlled Trial In a Large-Scale Online Course

Dorottya Demszky, Jing Liu, Heather Hill, Dan Jurafsky, Chris Piech

Educational Evaluation and Policy Analysis, 2023 May

Computationally Identifying Funneling and Focusing Questions in Classroom Discourse

Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, Dan Jurafsky

Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022), 2022, pp. 224--233

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A Hudson, ..., Dorottya Demszky, ..., Percy Liang

arXiv preprint arXiv:2108.07258, 2021 Jul

Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions

Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021 Jun

Learning to Recognize Dialect Features

Dorottya Demszky, Devyani Sharma, Jonathan H Clark, Vinodkumar Prabhakaran, Jacob Eisenstein

Proceedings of the 19th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021 Jun

The Role of Verb Semantics in Hungarian Verb-Object Order

Dorottya Demszky

Proceedings of the Linguistic Society of America (LSA), 2021 Jan

GoEmotions: A Dataset of Fine-Grained Emotions

Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko, Alan Cowen, Gaurav Nemade, Sujith Ravi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020

Pártélet: A Hungarian Corpus of Propaganda Texts from the Hungarian Socialist Era

Zoltán Kmetty, Veronika Vincze, Dorottya Demszky, Orsolya Ring, Balázs Nagy Nagy, Martina Katalin Szabó

Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC), 2020

Content Analysis of Textbooks via Natural Language Processing: Findings on Gender, Race, and Ethnicity in Texas US History Textbooks

Li Lucy*, Dorottya Demszky*, Patricia Bromley, Dan Jurafsky

AERA Open, vol. 6, SAGE Publications Sage CA: Los Angeles, CA, 2020

Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings

Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Matthew Gentzkow, Jesse Shapiro, Dan Jurafsky

Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019

Transforming Question Answering Datasets Into Natural Language Inference Datasets

Dorottya Demszky*, Kelvin Guu*, Percy Liang

arXiv preprint arXiv:1809.02922, 2018

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