Jane Li
- Profile
- Education
- Research
- Fellowships/Grants/ Awards
Profile
Jane Hanqi Li is a first year doctoral student in the Education Studies program at UC San Diego. Her research interests span Education Innovation, Human–Computer Interaction (HCI), AI Literacy, and Responsible/Trustworthy AI in education. She investigates how generative AI, conversational agents, and culturally responsive technologies can enhance classroom practices, support teacher practice, and promote equitable access to technology-rich education across diverse cultural contexts.
Before joining UCSD, Jane earned her M.A. in Learning Technology and Experience Design at New York University and her BFA in School of Visual Arts.
Education
University of California, San Diego 2025 - Present
Ph.D. in Education Studies
New York University 2023 - 2025
MA in Learning Technology and Experience Design
School of Visual Arts 2018 - 2022
BFA in Illustration
Research
Li, H., Xiao, R., Nieu, H., Tseng, Y.J., & Liao, G. (2025). From Unseen Needs to Classroom Solutions: Exploring AI Literacy Challenges & Opportunities with Project-Based Learning Toolkit in K-12 Education. Proceedings of the AAAI Conference on Artificial Intelligence.
Xiao, R., Tseng, Y.J., Li, H., Nieu, H., Liao, G., Stamper, J., & Koedinger, K. (2024). ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale. arXiv preprint arXiv:2412.14200.
Wang, J., Xiao, R., Hou, X., Li, H., Tseng, Y.J., Stamper, J., & Koedinger, K. (2025). LLMs to Support K–12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example. Proceedings of the International Conference on Artificial Intelligence in Education (AIED).
Li, H., Wen, Q., Xiao, R., & Ochoa, X. (2025). Enhancing Collaborative Learning with a Myers-Briggs Type Indicator (MBTI)-Driven Conversational AI. Companion Proceedings of the 15th International Conference on Learning Analytics & Knowledge (LAK25).
Xiao, R., Xiao, Q., Hou, X., Li, H.J., Moletsane, P.P., Shen, H., & Stamper, J. (2025). Bridging Cultural Distance Between Models’ Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices. [Preprint, under review].
Xiao, R., Xiao, Q., Hou, X., Moletsane, P.P., Li, H.J., Shen, H., & Stamper, J. (2025). Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives. [Preprint, under review].
Xiao, R., Tseng, Y.J., Li, H., Nieu, H., Liao, G., Stamper, J., & Koedinger, K. (2024). ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale. arXiv preprint arXiv:2412.14200.
Wang, J., Xiao, R., Hou, X., Li, H., Tseng, Y.J., Stamper, J., & Koedinger, K. (2025). LLMs to Support K–12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example. Proceedings of the International Conference on Artificial Intelligence in Education (AIED).
Li, H., Wen, Q., Xiao, R., & Ochoa, X. (2025). Enhancing Collaborative Learning with a Myers-Briggs Type Indicator (MBTI)-Driven Conversational AI. Companion Proceedings of the 15th International Conference on Learning Analytics & Knowledge (LAK25).
Xiao, R., Xiao, Q., Hou, X., Li, H.J., Moletsane, P.P., Shen, H., & Stamper, J. (2025). Bridging Cultural Distance Between Models’ Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices. [Preprint, under review].
Xiao, R., Xiao, Q., Hou, X., Moletsane, P.P., Li, H.J., Shen, H., & Stamper, J. (2025). Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives. [Preprint, under review].
Fellowships/Grants/ Awards
OpenAI Researcher Access Program
New York University ECT Student Grant
