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Zihan Wu武子涵


Ph.D. Candidate

University of Michigan
School of Information

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Publications
About

Hi! I’m Zihan Wu, a Ph.D. candidate at the University of Michigan, School of Information (UMSI). My research lies at the intersection of Human-Computer Interaction (HCI) and Computing Education Research (CER). I integrate learning theories from CER with human-centered design methods from HCI to create engaging, scalable, and effective educational tools, especially for computing. To evaluate these tools, I employ both qualitative lab studies and large-scale classroom or field studies. My work has been published in top venues in both fields, including CHI and ICER.

I am fortunate to be advised by Dr. Barbara Ericson. Before joining UMSI, I earned my Bachelor’s degree in Computer Science and Technology from Tsinghua University. As a Graduate Student Instructor, I have taught both introductory and advanced computing courses, including undergraduate Web Development, graduate Data Manipulation, and graduate Data Mining.

Click to check out my CV.

I am currently seeking postdoctoral and tenure-track positions starting in fall 2025! I am excited to continue designing and evaluating smart (AI-driven and personalized), interactive (gamified and engaging), and scalable (web-based and cost-effective) tools for learners. If this aligns with your interests, let’s connect!

Publications
  1. Learner and Instructor Needs in AI-Supported Programming Learning Tools: Design Implications for Features and Adaptive Control

    Zihan Wu, Yicheng Tang, Barbara J. Ericson
    AIED 2025 (Under Review)📄 PDF
  2. SQL Puzzles: Evaluating Micro Parsons Problems With Different Feedbacks as Practice for Novices

    Zihan Wu, Barbara J. Ericson
    CHI '24📄 PDF
  3. ContextCam: Bridging Context Awareness with Creative Human-AI Image Co-Creation

    Xianzhe Fan, Zihan Wu, Chun Yu, Fenggui Rao, Weinan Shi, Teng Tu
    CHI '24📄 PDF
  4. Evaluating Micro Parsons Problems as Exam Questions

    Zihan Wu, David H. Smith
    ITiCSE '24🏅 Best Paper Nomination📄 PDF
  5. CodeTailor: LLM-Powered Personalized Parsons Puzzles for Engaging Support While Learning Programming

    Xinying Hou, Zihan Wu, Xu Wang, Barbara J. Ericson
    L@S '24🏅 Best Paper Nomination📄 PDF
  6. Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course

    Aadarsh Padiyath, Xinying Hou, Amy Pang, Diego Viramontes Vargas, Xingjian Gu, Tamara Nelson-Fromm, Zihan Wu, Mark Guzdial, Barbara Ericson
    ICER '24📄 PDF
  7. Distractors Make You Pay Attention: Investigating the Learning Outcomes of Including Distractor Blocks in Parsons Problems

    David H. Smith, Seth Poulsen, Chinedu Emeka, Zihan Wu, Carl Haynes-Magyar, Craig Zilles
    ICER '24📄 PDF
  8. Using Micro Parsons Problems to Scaffold the Learning of Regular Expressions

    Zihan Wu, Barbara J. Ericson, Christopher Brooks
    ITiCSE '23📄 PDF
  9. GazeDock: Gaze-Only Menu Selection in Virtual Reality using Auto-Triggering Peripheral Menu

    Xin Yi, Yiqin Lu, Ziyin Cai, Zihan Wu, Yuntao Wang, Yuanchun Shi
    IEEE VR '22📄 PDF
  10. LightWrite: Teach Handwriting to The Visually Impaired with A Smartphone

    Zihan Wu, Chun Yu, Xuhai Xu, Tong Wei, Tianyuan Zou, Ruolin Wang, Yuanchun Shi
    CHI '21📄 PDF
  11. Callisto: Capturing the "Why" by Connecting Conversations with Computational Narratives

    April Yi Wang, Zihan Wu, Christopher Brooks, Steve Oney
    CHI '20🏅 Honorable Mention📄 PDF