In Submission
Qianou Ma, Weirui Peng, Hua Shen, Kenneth Koedinger, and Tongshuang Wu. What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs. In Submission, 2024.
Publications
Qianou Ma, Hua Shen, Kenneth Koedinger, and Tongshuang Wu. How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging. In International Conference on Artificial Intelligence in Education. Springer, 2024. 🏆 Best Paper.
Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, Charles Murray, Christopher Bogart, Majd Sakr, and Carolyn P. Rose. Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study in Generative AI for Computer‑ Supported Collaborative Learning. In International Conference on Artificial Intelligence in Education. Springer, 2024. 🏆 Best Paper Nominee.
Qianou Ma*, Yann Hicke*, Anmol Agarwal*, and Paul Denny. AI‑TA: Towards an Intelligent Question‑Answer Teaching Assistant using Open‑ Source LLMs. In Proceedings of the Workshop on Generative AI for Education (GAIED) ‑ co‑located with 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023. *Equal contribution.
Qianou Ma, Tongshuang Wu, and Kenneth Koedinger. Is AI the better programming partner? Human‑Human Pair Programming vs. Human‑Al pAIr Programming. In Proceedings of the Workshop on Empowering Education with LLMs ‑ the Next‑Gen Interface and Content Gen‑ eration 2023 co‑located with 24th International Conference on Artificial Intelligence in Education (AIED 2023), pages 64–77, 2023.
Aysa Xuemo Fan, Rully Agus Hendrawan, Yang Shi, and Qianou Ma. Enhancing Code Tracing Question Generation with Refined Prompts in Large Language Models. SIGCSE TS 2024 (55th ACM Technical Symposium on Computer Science Education), 2024.