Jiaen Yu, Ylesia Wu, Gabriel Cha, Ayush Shah, Samuel Lau. Improving LLM-Generated Educational Content: A Case Study on Prototyping, Prompt Engineering, and Evaluating a Tool for Generating Programming Problems for Data Science. In Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1, SIGCSE TS 2026, St. Louis, MO, USA, February 18-21, 2026. pages 1186-1192, ACM, 2026. [doi]
@inproceedings{YuWCSL26,
title = {Improving LLM-Generated Educational Content: A Case Study on Prototyping, Prompt Engineering, and Evaluating a Tool for Generating Programming Problems for Data Science},
author = {Jiaen Yu and Ylesia Wu and Gabriel Cha and Ayush Shah and Samuel Lau},
year = {2026},
doi = {10.1145/3770762.3772619},
url = {https://doi.org/10.1145/3770762.3772619},
researchr = {https://researchr.org/publication/YuWCSL26},
cites = {0},
citedby = {0},
pages = {1186-1192},
booktitle = {Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1, SIGCSE TS 2026, St. Louis, MO, USA, February 18-21, 2026},
publisher = {ACM},
isbn = {979-8-4007-2256-1},
}