TutorCraftEase: Enhancing Pedagogical Question Creation with Large Language Models
CHI 2025, 2025
This paper explores strategies to enhance teachers’ abilities in creating assessment questions, aiming to improve learning outcomes and facilitate the transfer of theoretical knowledge.
Recommended citation:
Wenhui Kang, Lin Zhang, Xiaolan Peng, Hao Zhang, Anchi Li, Mengyao Wang, Jin Huang, Feng Tian, and Guozhong Dai. 2025. TutorCraftEase: Enhancing Pedagogical Question Creation with Large Language Models. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 1076, 1–22. https://doi.org/10.1145/3706598.3713731
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