About CSET

Our Team - Faculty

photo of Dora Demszky

Dora Demszky

Assistant Professor



Graduate School of Education, Room 536

Dora Demszky is an Assistant Professor in Education Data Science at Stanford University, and in Computer Science (by courtesy). Her research focuses developing and deploying tools that combine natural language processing, linguistics and input from practitioners to facilitate equitable, student-centered instruction. Her tools analyze educational discourse such as student-teacher interactions, student group work and textbooks, to identify features of of high-quality instruction and suggest areas of improvement for educators. Dr Demszky has received her PhD in Linguistics at Stanford.

CSET Publications

Demszky, D., Wang, R., Geraghty, S., & Yu, C. (2024). Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform.

Demszky, D., Liu, J., Hill, H. C., Sanghi, S., & Chung, A. (2023). Improving Teachers’ Questioning Quality through Automated Feedback: A Mixed-Methods Randomized Controlled Trial in Brick-and-Mortar Classrooms.

Wang, R. E., & Demszky, D. (2023). Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction. arXiv preprint arXiv:2306.03090.

Kupor, A., Morgan, C., & Demszky, D. (2023). Measuring Five Accountable Talk Moves to Improve Instruction at Scale. arXiv preprint arXiv:2311.10749.

Wang, R. E., Zhang, Q., Robinson, C., Loeb, S., & Demszky, D. (2023). Step-by-Step Remediation of Students' Mathematical Mistakes. arXiv preprint arXiv:2310.10648.

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