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- research-articleMarch 2025
Generating Effective Distractors for Introductory Programming Challenges: LLMs vs Humans
- Mohammad Hassany,
- Peter Brusilovsky,
- Jaromir Savelka,
- Arun Balajiee Lekshmi Narayanan,
- Kamil Akhuseyinoglu,
- Arav Agarwal,
- Rully Agus Hendrawan
LAK '25: Proceedings of the 15th International Learning Analytics and Knowledge ConferencePages 484–493https://doi.org/10.1145/3706468.3706529As large language models (LLMs) show great promise in generating a wide spectrum of educational materials, robust yet cost-effective assessment of the quality and effectiveness of such materials becomes an important challenge. Traditional approaches, ...
- posterMay 2024
Authoring Worked Examples for JAVA Programming with Human AI Collaboration
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied ComputingPages 101–103https://doi.org/10.1145/3605098.3636160Worked examples are among the most popular types of learning content in programming classes. However, instructors rarely have time to provide line-by-line explanations for a large number of examples typically used in a programming class. In this paper, ...
