Scholar
Tiffany Wenting Li
Google Scholar ID: dvjTpmgAAAAJ
Assistant Professor of Computer Science, Stevens Institute of Technology
Citations & Impact
Citations
229
H-index
7
i10-index
7
Publications
13
Co-authors
0
Resume (English only)
Academic Achievements
- Publications:
- - Presented the paper 'Can Learners Navigate Imperfect Generative Pedagogical Chatbots? An Analysis of Chatbot Errors on Learning' at the Learning@Scale 2025 conference.
- - The paper 'Budget, Cost, or Both? An Empirical Exploration of Mechanisms in Quadratic Surveys' was accepted to the Collective Intelligence 2025 conference.
- - Participated in CHI 2025 in Japan and presented the paper 'Organize, Then Vote: Exploring Cognitive Load in Quadratic Survey Interfaces'.
Research Experience
- Currently an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology. Her previous research involved the application of algorithmic systems in education, including auditing algorithmic educational systems to identify and address interaction and deployment challenges faced by stakeholders, and leveraging theories and knowledge in human learning to support critical use of algorithmic systems in various scenarios.
Education
- Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign, co-advised by Professors Karrie Karahalios and Hari Sundaram.
Background
- Her research interests include Human-Computer Interaction (HCI), Human-Centered AI (HAI), and Educational Technology. Her work is motivated by the goal of empowering everyone to thrive in a rapidly changing future through education. She focuses on the interplay between algorithmic systems and education, particularly on the adoption, use, and deployment of algorithmic systems in education, and how education and knowledge of human learning can prepare people for a future with algorithmic systems.
Miscellany
- Actively looking for Ph.D. students to join her team starting Fall 2026. She enjoys working with self-driven and curious undergraduate and master’s students with a strong interest in research.
Co-authors