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Biography
Dr. Demszky is an Assistant Professor in Education Data Science at the Graduate School of Education at º£½ÇÂÒÂ×ÉçÇø 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 º£½ÇÂÒÂ×ÉçÇø 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.
Other titles
Assistant Professor,
Assistant Professor (By courtesy),
Program affiliations
Learning Sciences and Technology Design (LSTD)
SHIPS (PhD)
SHIPS (PhD): Educational Data Science
SHIPS (PhD): Educational Linguistics
(MS) EDS
º£½ÇÂÒÂ×ÉçÇø Accelerator for Learning
Research interests
Curriculum and Instruction | Data Sciences | Social and Emotional Learning | Teachers and Teaching | Technology and Education
Recent publications
Demszky, D., Liu, J., Hill, H. C., Sanghi, S., & Chung, A. (2025). Automated feedback improves teachers' questioning quality in brick-and-mortar classrooms: Opportunities for further enhancement. COMPUTERS & EDUCATION, 227.
Malik, R., Abdi, D., Wang, R., & Demszky, D. (2025). Scaffolding middle school mathematics curricula with large language models. BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY.
Yun, J., Nie, A., Brunskill, E., & Demszky, D. (2025). Exploring the Benefit of Customizing Feedback Interventions For Educators and Students With Offline Contextual Multi-Armed Bandits. FIFTEENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, LAK 2025. ASSOC COMPUTING MACHINERY.
