Academic

Research, publications, and questions on AI-assisted learning.

My research asks how the design of technology shapes teachers and learners, especially around judgment, care, feedback, and agency.

Research interests

The problem areas currently connecting my academic work.

01

AI in education & the design ethics of EdTech

02

Teacher experience, judgment, and agency in the age of AI

03

Care-oriented feedback and learner wellbeing in technology-mediated learning

04

Technology-supported collaborative learning and learning design

Research agenda

Mixed methods, explanatory sequential designs, quasi-experimental designs, survey and scale development, reflexive thematic analysis, design-based research, and systematic review.

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.

Ongoing research

Current projects on care, feedback, AI, and language learning.

ongoing research 2026

Caring for Language Teachers in the Age of AI

This project evaluates a school's AI support system itself as a practice of care. When institutions push AI adoption faster than teachers' professional readiness, teachers carry invisible emotional labour. The study uses the 88 language teachers of one bilingual K-12 school for a within-institution comparison, following an explanatory sequential mixed-methods design: a whole-population survey first, then stratified interviews and focus groups.

ongoing research 2026

Non-Evaluative Feedback as a Form of Care

This project treats feedback design as an ethical and emotional question. Through a quasi-experiment, it compares a cozy-game environment with non-evaluative, low-stakes feedback against an evaluative-pressure vocabulary platform, asking whether non-evaluative feedback can reduce anxiety and support more sustainable learning.

Publications

Journal article and book chapters in press.

2026 Journal Article

How we learn language collaboratively through technology: A systematic review

Zehao Li & Ziqian Zhou
Journal of Computers in Education

2026 Book Chapter (in press)

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

2026 Book Chapter (in press)

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