Teaching
Statistics, measurement, and judgment
Eight semesters as a teaching assistant for NTU Psychology's quantitative sequence, two faculty workshops on AI in teaching, an interactive teaching tool, and three proposed courses.
Teaching philosophy
- Start from the research question, not the formula. Each method is introduced only when it answers a problem students already recognize — a between-subjects design, a scale that needs validation, a latent trait to be estimated.
- Pair theory with reproducible computation. Every method is implemented in R alongside its derivation; students submit analyses as reproducible scripts, so the link between an equation and its output is something they build.
- Treat AI tools as objects of critical analysis. Students compare AI-generated analyses with their own, locate where the statistical reasoning goes wrong, and say why. The goal is judgment, not prohibition.
Workshops
- Workshop on AI Applications in Teaching (Session 2)Sep. 21, 2026
Lead instructor · Taiwan Economic Association, co-hosted by the Departments of Public Finance and Economics, National Chengchi University · co-taught with Prof. Yu-Chang Chen
Three-hour session for university instructors in economics and related fields (capped at 40).
- Workshop on AI Applications in Teaching (Session 1)Aug. 24, 2026
Lead instructor · Taiwan Economic Association, co-hosted by the College of Social Sciences, National Taiwan University · co-taught with Prof. Yu-Chang Chen
Full-day workshop for university instructors in economics and related fields (capped at 40): language-model fundamentals, a course-specific AI teaching assistant, and specification-driven development of teaching materials.
In total, approximately 70 participants across the two sessions: faculty from universities across Taiwan and postdoctoral researchers from Academia Sinica.
Teaching assistant
8 semesters, National Taiwan University, Department of Psychology.
| Course | Level | Semesters |
|---|---|---|
| PSY1003/1004 Statistics in Psychology and Education I & II | Undergraduate (required) | Fall 2019, Spring 2020, Fall 2020, Spring 2021 |
| PSY3010 Intermediate Statistics | Undergraduate (advanced) | Fall 2021 |
| PSY5033 Applied Linear Regression | Graduate | Spring 2023 |
| PSY7001 Experimental Design | Graduate | Fall 2022, Fall 2024 |
Tools
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Students choose a population shape and a sample size, draw samples, and watch the sampling distribution of the mean form in real time. Used to supplement the sampling-distribution unit of PSY1003.
Proposed syllabi
Proposals prepared for faculty applications; none has yet been offered as a course.
- Psychological Testing (with Practicum) Undergraduate
- Item Response Theory and Computerized Adaptive Testing Graduate seminar
- Statistics in Psychology and Education I/II Undergraduate (required sequence)