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Dora Demszky

Photo of Dora Demszky

Dora Demszky

Assistant Professor

Assistant: Christopher Cobb

Office: CERAS 536


Dr. Demszky is an Assistant Professor in Education Data Science at the Graduate School of Education at Stanford University. She builds and deploys natural language processing methods to support equitable and student-centered education. Dr. Demszky’s research combines machine learning, natural language processing, linguistics and input from practitioners, in order to develop interpretable and scalable education measures. By deploying these measures, she aims to improve educational interventions, teachers' professional development and the equity of curricular materials. In terms of teaching, Dr. Demszky focuses on making STEM and data science accessible to all, thereby helping students solve key issues in education and beyond. One barrier to entry to education data science is the perceived difficulty and abstractness of quantitative methods, which she seeks to eliminate by capitalizing on students’ interests and expertise and Teaching through examples and hands-on, collaborative projects.

Other Titles

Asst Prof-Subj To PhD, Graduate School of Education
Ph.D. Student in Linguistics, admitted Autumn 2017

Program Affiliations

Learning Sciences and Technology Design (LSTD)
SHIPS (PhD): Education Data Science
SHIPS (PhD): Educational Linguistics

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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