TutorCraftEase: Enhancing Pedagogical Question Creation with Large Language Models
Published in ACM CHI 2025 (CCF-A), 2025
Authors
Wenhui Kang, Lin Zhang, Xiaolan Peng, Hao Zhang, Anchi Li, Mengyao Wang, Jin Huang, Feng Tian, and Guozhong Dai
Venue
ACM CHI Conference on Human Factors in Computing Systems (CHI 2025, CCF-A), Article 1076, pages 1–22.
Abstract
TutorCraftEase is an interactive system that uses large language models to support pedagogical question creation. It helps teachers rapidly generate questions at different difficulty levels while preserving opportunities for manual review and refinement. A comparative study with 39 participants evaluated the system against manual authoring and a basic LLM tool, examining question quality as well as the time and workload involved in authoring.
Links
No individual contribution statement is included because the repository does not contain a source that verifies author-specific contributions.
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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