Dorottya (Dora) Demszky

Assistant Professor in Education Data Science


Curriculum vitae



Graduate School of Education

Stanford University



M-Powering Teachers



Publications




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




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




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




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




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




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





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