Research

The big question for my research is: how should we best prepare humans for the AI era? To this end, I design, build, and evaluate LLM applications to foster AI literacy, optimize human–AI task delegation, and support effective human–AI workflows, especially in programming and computing education. I conduct mixed-methods research to investigate how people collaborate and learn with AI systems, and design systems and frameworks to support training and evaluation of effective human–AI teams. I frame my work around the key research questions of what to teach, how to teach, and how to evaluate.

Jump to: Selected Projects · Publications · Invited Talks

Overview of my research: what to teach (pAIr, DSPM), how to teach (HypoCompass, ROPE, ImaginAItion), and how to evaluate (SPHERE, RECAP)

Publications

* equal contribution † mentoring · See also Google Scholar.

Preprints & In Submission

  • In Submission
    Impact of Expertise and Trust on AI-Assisted Work
    Qianou Ma, Pranav Khape, Rock Pang, Ken Koedinger, Tongshuang Wu, Siddarth Suri, and Shamsi Iqbal
    Manuscript under review, 2026.
  • In Submission
    Yeon Su Park, Nadia Arvi, Hae Ri Lee, Sehoon Lim, Qianou Ma†, and Juho Kim
    Manuscript under review, 2026.
  • In Submission
    Zora Zhiruo Wang, Apurva Gandhi, Rulin Shao, Aspen Chen, Jonas Mueller, Zhiqi Liang, Jett Chen, Michael Ryan, Qianou Ma, Luxi He, Zhoujun Cheng, Andre He, Seungone Kim, Jiayi Geng, Mingqian Zheng, Weiwei Sun, Zheyuan Zhang, Xinran Zhao, Yike Wang, Abe Hou, Liwei Jiang, Pang Wei Koh, Diyi Yang, Graham Neubig, and Daniel Fried
    ArXiv, 2026. Accepted to the NeurIPS 2026 Workshop on Towards Test-Time Continual Learning Agents.
  • In Submission
    Weiwei Sun, Xuhui Zhou, Jiarui Liu, Weihua Du, Haojia Sun, Yiqing Xie, Qianou Ma, Sihao Chen, Mengting Wan, Longqi Yang, Pei Zhou, Sherry Tongshuang Wu, Sean Welleck, Graham Neubig, Yiming Yang, and Maarten Sap
    Manuscript under review, 2026.

Conference & Journal Papers

Workshops, Posters & Doctoral Consortia

Invited Talks

  • Aug 2026The Impact of Expertise on AI-Assisted Work
    Microsoft
  • Spring 2026What to Teach and How to Teach Programming in the AI Era
    Penn, Cornell, Columbia, UMich, UChicago, UCI, UCSD, UC Berkeley, Stanford, UIUC, HKUST (Guangzhou), UW
  • Dec 2025Training Future-Proof Developers
    HKU, HKUST, ECNU
  • Dec 2025AI × Future of Work Series: Workforce Preparation on AI Literacy (Keynote)
    Plug and Play Tech Center
  • Oct 2025Training Requirement-Driven LLM Use for Prompt Programming
    Mila HCAI Seminar
  • Fall 2025Training the Use of LLMs on Programmatic Data Science for Non-Experts
    Bloomberg, University of Pittsburgh
  • Aug 2025Sister Conferences Best Paper Presentation
    IJCAI 2025, Montreal
  • Jun 2025IAALDE-Network Best Paper Presentation
    CSCL/ISLS 2025, Helsinki
  • Fall 2024Training for the Future: Preparing Students for Human–LLM Partnerships
    UMich, CMU, Pitt
  • Aug 2024Scaling Student Support: Online Question-Answering with LLM Tutors
    Google DeepMind