Dora Demszky

Assistant Professor

Office: CERAS 536

Biography

Dr. Demszky is an Assistant Professor in Education Data Science at the Graduate School of Education at Stanford University. She works on developing natural language processing methods to support equitable and student-centered instruction. She has developed tools to give feedback to teachers on dialogic instructional practices, to analyze representation in textbooks, measure the presence of dialect features in text, among others. Dr Demszky has received her PhD in Linguistics at Stanford University, supervised by Dr Dan Jurafsky. Prior to her PhD, Dr. Demszky received a BA summa cum laude from Princeton University in Linguistics with a minor in Computer Science.

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Other Titles

Assistant Professor, Graduate School of Education
Assistant Professor (By courtesy), Computer Science

Program Affiliations

Learning Sciences and Technology Design (LSTD)

SHIPS (PhD)

SHIPS (PhD): Education Data Science

SHIPS (PhD): Educational Linguistics

(MS) EDS

See GSE Programs >

Research Interests

Curriculum and Instruction | Data Sciences | Social and Emotional Learning | Teachers and Teaching | Technology and Education

See a full list of GSE Faculty research interests >

Recent Publications

Demszky, D., Liu, J., Mancenido, Z., Cohen, J., Hill, H., Jurafsky, D., & Hashimoto, T. (2021). Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. Presented at the Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL).

Demszky, D., Sharma, D., Clark, J. H., Prabhakaran, V., & Eisenstein, J. (2021). Learning to Recognize Dialect Features. Presented at the Proceedings of the 19th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).

Demszky, D. (2021). The Role of Verb Semantics in Hungarian Verb-Object Order. Presented at the Proceedings of the Linguistic Society of America (LSA).

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