我的研究致力于帮助人类在人工智能深度融入的开发环境中更好地适应与成长。 我采用混合研究方法（mixed-methods），设计、构建并评估以人为中心的人工智能系统，旨在培养人们在编程工作流程中与大型语言模型（LLM）高效协作的能力。 我的工作融合了人工智能（AI）、人机交互（HCI）和计算机科学教育（CS Education）等领域，服务于包括学生、终端用户和开发者在内的多类人群。 相关研究成果已发表于AIED、TOCHI、ACL等国际顶级会议与期刊，并获得了包括AIED 最佳论文奖（Best Paper）在内的多项荣誉。 🎓 Google Scholar
投稿中
Qianou Ma, Ken Koedinger, and Tongshuang Wu. Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications in AI‑assisted Data Analysis. In Submission, 2025.
Qianou Ma, Megan Chai, Yike Tan, Jihun Choi, Jini Kim, Erik Harpstead, Geoff Kauffman, and Tongshuang Wu. From Prompts to Reflection: Designing Reflective Play for GenAI Literacy. In Submission, 2025.
Chenyang Yang, Yike Shi, Qianou Ma, Michael Xieyang Liu, Christian Kästner, and Tongshuang Wu. What Prompts Don’t Say: Understanding and Managing Underspecification in LLM Prompts. In Submission, 2025.
已发表论文（会议，期刊）
Qianou Ma, Weirui Peng, Chenyang Yang, Hua Shen, Kenneth Koedinger, and Tongshuang Wu. What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use. In Transactions on Computer‑Human Interaction (TOCHI), 2025. Media coverage: SCS News.
Qianou Ma*, Dora Zhao*, Xinran Zhao, Chenglei Si, Chenyang Yang, Ryan Louie, Ehud Reiter, Diyi Yang\(^\dagger\), and Tongshuang Wu\(^\dagger\). SPHERE: An Evaluation Card for Human-AI Systems. In ACL Findings, 2025. *Co-first authors. \(^\dagger\)Co-last authors.
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.
已发表论文（其他）
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.
Qianou Ma, Anika Jain*, Jini Kim*, Megan Chai*, and Geoff Kauffman. ImaginAItion: Promoting Generative AI Literacy Through Game‑Based Learning. In CHI EA’25: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025. *Equal contribution.
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.