Publications

Demszky, D., Liu, J., Hill , H., Sanghi, S., & Chung, A. (2025). Automated feedback improves teachers’ questioning quality in brick-and-mortar classrooms: Opportunities for further enhancement. Computers & Education, 227. https://doi.org/10.1016/j.compedu.2024.105183

Malik , R. ., Abdi, D., Wang, R. ., & Demszky, D. (2025). Scaffolding Middle-School Mathematics Curricula With Large Language Models. British Journal of Education Technology. https://doi.org/10.1111/bjet.13571

Wang, R., & Demszky, D. (2024). An Open-Source Library for Education Conversation Data. NAACL System Demonstrations. https://arxiv.org/pdf/2402.05111

Wang, R., & Demszky , D. (2024). An Open-Source Library for Education Conversation Data. NAACL System Demonstrations. https://arxiv.org/pdf/2402.05111

Wang, R., Zhang, Q., Robinson, C., Loeb, S., & Demszky, D. (2024). Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). https://arxiv.org/pdf/2310.10648

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. The 14th Learning Analytics and Knowledge Conference (LAK). https://spaces-cdn.owlstown.com/blobs/ttf4t8cpptbt692mxzao4p3d50af

Wang, R., Wirawarn, P., Khattab, O. ., Goodman, N., & Demszky, D. (2024). Backtracing: Retrieving the Cause of the Query. Findings of the Association for Computational Linguistics: EACL. https://doi.org/doi.org/10.48550/arXiv.2403.03956

Demszky, D., Williams, C., Brady, S., Subrahmanya, S., Gaudiello, E., Walton, G., & Eichstaedt, J. (2024). Computational Language Analysis Reveals that Process-Oriented Thinking About Belonging Aids the College Transition. https://doi.org/10.26300/5mm8-7m81

Attia, A., Demszky, D., Ogunremi, T., Liu, J., & Espy-Wilson, C. . (2024). Continued Pretraining for Domain Adaptation of Wav2vec2. 0 in Automatic Speech Recognition for Elementary Math Classroom Settings. arXiv preprint arXiv, 2405. https://arxiv.org/pdf/2405.13018

Lee, V., Abdi, D., Coelho, R., Bywater, C., Levine, S., & Demszky, D. (2024). Identifying Pedagogical Opportunities for Text Data Visualizations in English Language Arts through Co-Design. Proceedings of the 18th International Conference of the Learning Sciences-ICLS 2024, Pp. 2201-2202. International Society of the Learning Sciences. https://repository.isls.org/bitstream/1/10935/1/ICLS2024_2201-2202.pdf

Attia, A., Liu, J., Ai, W., Demszky, D., & Espy-Wilson, C. (2024). Kid-Whisper: Towards bridging the performance gap in automatic speech recognition for children vs. adults. AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES).

Coelho, R., Levine, S., Abdi, D., Phalen, L., Harris, L., Demszky, D., & Lee, V. (2024). Middle School Students’ Engagement with Quantitative Data Representations of Fictional Texts. Proceedings of the 18th International Conference of the Learning Sciences-ICLS. https://repository.isls.org/bitstream/1/10709/1/ICLS2024_1398-1401.pdf

Wang, R., Wirawarn, P., Lam, K., Khattab, O., & Demszky, D. (2024). Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations. Findings of the Association for Computational Linguistics: EMNLP.

Wang, R., Ribeiro, A., Robinson, C., Loeb, S. ., & Demszky, D. (2024). Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise. arXiv preprint arXiv:2410.03017. https://arxiv.org/abs/2410.03017

Demszky , D., Bush, J., D’Mello, S., Jacobs, J., Hau, I., Hill, H., Liu, J., Loeb, S., Maples, B., Pepper, K., Pokorny, R., Rascoff, M., Robinson, J., Yeager, D., & Wentworth, L. (2023). Empowering Educators via Language Technology. https://ddemszky.github.io/papers/Empowering%20Educators%20via%20Language%20Technology.pdf

Demszky, D., Yang, D., Yeager, D., Bryan, C., Clapper, M., Chandhok, S., Eichstaedt, J., Hecht, C., Jamieson, J., Johnson, M., Jones, M., Krettek-Cobb, D., Lai, L., JonesMichell, N., Ong, D., Dweck, C., Gross, J., & Pennebaker, J. (2023). Using large language models in psychology. Nature Reviews Psychology. https://doi.org/10.1038/s44159-023-00241-5

Mah, C., Tan, M., Phalen, L. ., Sparks, A., & Demszky , D. From Sentence-Corrections to Deeper Dialogue: Qualitative Insights from Llm and Teacher Feedback on Student Writing. SSRN. https://doi.org/10.2139/ssrn.5213040