A list of my research papers can be seen on my Google Scholar page.
We're thrilled to announce the acceptance of our SIGCSE 2025 research paper exploring the transformative potential of Large Language Models (LLMs) in computer science education. As LLMs become integral tools for experienced programmers, their impact on novice learners remains a critical question. Our study delves into this challenge, revealing how interactive LLMs can enhance code generation accuracy for beginners and improve their prompting skills. Our approach not only boosts learning outcomes but also addresses equity concerns in CS education. Join us at SIGCSE 2025 TS to explore how our findings can be leveraged into curricula, empowering the next generation of programmers.
Bridging Novice Programmers and LLMs with Interactivity
Thomas Y. Yeh, Karena Tran, Ge Gao, Tyler Yu, Wai On Fong, and Tzu-Yi Chen.
2025. Bridging Novice Programmers and LLMs with Interactivity.
In Proceedings of the 56th ACM Technical Symposium on Computer Science
Education V. 1 (SIGCSE TS 2025). ACM, New York, NY, USA, 7 pages.
https://doi.org/10.1145/3641554.3701867