AI and Education Initiative Featured Publications

Xu, Paiheng, Liu Jing, Jones, Nathan, Cohen, Julie & Ai, Wei. (2024). The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. (Vol 1: Long Papers) 4375-4389. https://aclanthology.org/2024.naacl-long.246/ 

Yu, H., Allessio, D. A., Lee, W., Rebelsky, W., Sylvia, F., Murray, T., Magee, John J., Arroyo, I., Woolf, Beverly, P.,  Bargal, Sarah, A., and Betke, M. (2023, October). COVES: A Cognitive-Affective Deep Model that Personalizes Math Problem Difficulty in Real Time and Improves Student Engagement with an Online Tutor. In Proceedings of the 31st ACM International Conference on Multimedia (pp. 6152-6160). https://dl.acm.org/doi/10.1145/3581783.3613965

Cui, C., Abdalla, A., Wijaya, D., Solberg, S., Bargal, S.A. (2024). Large Language Models for Career Readiness Prediction. In: Olney, A.M., Chounta, IA., Liu, Z., Santos, O.C., Bittencourt, I.I. (eds) Artificial Intelligence in Education. Proceedings of the 25th International Conference on Artificial Intelligence in Education (AIED 2024). Communications in Computer and Information Science, vol 2150. Springer, Cham. doi.org/10.1007/978-3-031-64315-6_26

Kim, K., Chen, X., & Liu, X. Accuracy scoring of elicited imitation: A tutorial of automating speech data with commercial NLP support. Research Methods in Applied Linguistics. Vol 3, Issue 3. 2024, https://doi.org/10.1016/j.rmal.2024.100127