Conference Paper

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

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

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.