I study and build human-centered learning technologies, with a focus on large language
models, teacher-facing tools, and classroom experiences that balance rigor with usability.
I am a researcher and designer specializing in AI-driven educational technologies. My work focuses on developing large language model (LLM) applications that foster personalized learning environments and reimagine the role of teachers in AI-enhanced classrooms. I combine a background in industrial design with hands-on experience in user research, qualitative/quantitative analysis, and human-centered design.
I have contributed to projects that integrate LLMs into Computer Science Education, English as a Foreign Language (EFL) education, including designing student support systems, designing learning analytics dashboards, evaluating student–AI interactions, and developing teacher-support tools. My research has been published at HCI and NLP venues such as VL/HCC, UIST, L@S, LAK, NeurIPS, EMNLP, and LREC-COLING etc.
Current areas of work
AI-supported learning systems
Teacher dashboards and learning analytics for LLM-mediated classrooms
Human-centered evaluation of student and teacher interaction with AI
In Companion Proceedings of the 16th Learning Analytics & Knowledge Conference (LAK 2026)
Conducted survey, interviews, and observation with six EFL instructors about ChatGPT-student interaction
Developed dashboard prototypes with React, Plotly, and OpenAI API
Investigated design implic...