Tiffany Wenting Li
Computer Science · Purdue University West Lafayette
Publications
14
Citations
183
Est. group size
—
Recurring co-author estimate
Active years
7
Publishing since 2020
Tiffany Wenting Li's research focuses on how people learn and interact with imperfect AI systems, such as chatbots, autograders, and sketching feedback tools, and how errors in these systems affect learning and user experience. She also studies survey design methods like quadratic voting and cognitive load, as well as spatial visualization skill training. Her work sits at the intersection of human-computer interaction and educational technology.
Publication output has been irregular over the past decade, starting in 2020, peaking in 2021, dipping in 2022, and showing renewed activity from 2023 through 2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Supporting Learners' Use of Imperfect Generative Pedagogical Chatbots: The Role of Chatbot Response Uncertainty and Reduced Verbosity
2026
- Can Learners Navigate Imperfect Generative Pedagogical Chatbots? An Analysis of Chatbot Errors on Learning
2025
- Organize, Then Vote: Exploring Cognitive Load in Quadratic Survey Interfaces
2025
- Budget, Cost, or Both? An Empirical Exploration of Mechanisms in Quadratic Surveys
2025
- Evaluating an Intelligent Sketching Feedback Tool for Scalable Spatial Visualization Skill Training
2021 ASEE Virtual Annual Conference Content Access Proceedings · 2024
- Inform the Uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot
2023
- Am I Wrong, or Is the Autograder Wrong? Effects of AI Grading Mistakes on Learning
2023
- "I can show what I really like."
Proceedings of the ACM on Human-Computer Interaction · 2021
- "It's all about conversation"
Proceedings of the ACM on Human-Computer Interaction · 2021
- Attitudes Surrounding an Imperfect AI Autograder
2021
- Dataset for '“I can show what I really like.”: Eliciting Preferences via Quadratic Voting'
2021
- Work in Progress: Spatial Visualization Assessment and Training in the Grainger College of Engineering at the University of Illinois
2021
- Erroneous Answers Categorization for Sketching Questions in Spatial Visualization Training.
Educational Data Mining · 2020
- A Data-Driven, Player-Centric Approach to Evaluating Spatial Skill Training Games
2020
- Proceedings of the ACM on Human-Computer Interaction×2
- Educational Data Mining×1
- 2021 ASEE Virtual Annual Conference Content Access Proceedings×1
- Hillary Merzdorf
Computer Science · Purdue University West Lafayette
- Ahmed Ashraf Butt
Computer Science · Purdue University West Lafayette
- Ana Bell
Computer Science · The Ohio State University
- Alyssa Friend Wise
Computer Science · Indiana University
- Andres Bejarano
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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