Research, publications, and questions on AI-assisted learning.
Research interests
Teacher experience, judgment, and agency in the age of AI
Care-oriented feedback and learner wellbeing in technology-mediated learning
Technology-supported collaborative learning and learning design
Research agenda
My research turns on a single question: as AI enters education, how does the design of technology shape the people inside it — teachers and learners alike? I treat platform and interface design as a choice that carries ethical and emotional weight, studying how it bears on teachers' judgment and emotional labour, and on learners' anxiety and engagement. I work deliberately across both ends, research and building: using empirical work to understand a problem, and making tools to respond to it.
Publications
Design-based research on developing collaborative writing lessons: The learning process of TESOL student teachers
Zehao Li, Jiachen Xu, & Ziying Chen
Developing in-house materials for junior secondary English classrooms: A focus on enhancing authenticity in the context of Hong Kong, China
Integrating travel blogs into language learning: A genre-based and process writing approach
Zehao Li, Ziying Chen, & Jiachen Xu
Developing in-house materials for junior secondary English classrooms: A focus on enhancing authenticity in the context of Hong Kong, China
Conferences
Caring for Language Teachers in the Age of AI: Emotional Labour, Institutional Care Ecologies, and Sociocultural Difference in a Bilingual K–12 School
Zehao Li & Roselyn Baronia
XXIVth International CALL Research Conference
Non‑Evaluative Feedback in Cozy Game Environments as a Form of Care for Anxious EFL Learners: A Quasi‑Experimental Study
Zehao Li & Mingxun Xu
XXIVth International CALL Research Conference