AI-Convergence Educational Design and Management
The master's track where most MindScale graduate students are enrolled, covering educational measurement, educational data, and the design of AI-supported instruction and assessment.
Sogang University
Programs
Dr. Shin teaches across three units, and chairs the newest of them.
Education and Culture interdisciplinary major
An undergraduate interdisciplinary major, and the route through which undergraduates reach the lab's capstone course.
AI Behavioral Studies
Launched in 2026 with four tracks — psychology, education, media communication, and technology management. It studies how AI reshapes human behavior rather than treating AI purely as an engineering artefact. Dr. Shin chairs the program.
Courses
What Dr. Shin teaches
Undergraduate and graduate courses spanning the foundations of education, measurement theory, and the data science that increasingly sits underneath both.
Undergraduate
Introduction to Education
A first course in the study of education: its aims, its institutions, and the questions the discipline asks.
Educational Measurement and Evaluation
Classical test theory and item response theory, reliability and validity, and how to build assessments that support learning rather than merely rank it.
Big Data in Education
A project course taking teams from an educational question through data collection, analysis, and write-up. Its 2025–26 cohort produced a main-track AIED 2026 paper and a second international conference presentation.
Data-driven Learning Science
What learner data can and cannot tell us about how people learn, and the methods that turn traces of behaviour into evidence.
Artificial Intelligence in Education
How AI is entering assessment and instruction — automatic item generation, automated scoring, adaptive systems — and the validity questions each raises.
Graduate
Learning Analytics
Modelling learning from process and interaction data: what to measure, how to measure it, and what follows for teaching.
Data Science in Education
Applied analysis of educational data, from research design through statistical modelling to defensible interpretation.
Professional training
Workshops
- PISA 2018 Item Response Theory and Population Modeling in Large-scale Assessments Workshop for PISA National Project Managers, co-led with Dr. Eugenio Gonzalez (ETS).
Service
Professional activities
Advisory and organizing roles
- 2026–Member, PISA Technical Advisory GroupOECD. First Korean member; currently the only member from Asia.
- 2026Registration Chair, Festival of Learning 2026The joint AIED, EDM, and ACM L@S conference, Seoul, 27 June – 3 July.
- IMPS 2020Psychometric Issues in Multistage Adaptive TestingSymposium co-chaired with Dr. Peter van Rijn.
- NCME 2020When Measurement Meets Causal InferenceSymposium co-chaired with Prof. Yongnam Kim.
- IMPS 2018Modeling Response Times in Large-Scale AssessmentsInvited symposium, co-chaired with Dr. Lale Khorramdel.
Memberships
- National Council on Measurement in Education (NCME)
- International Meeting of the Psychometric Society (IMPS)
- American Educational Research Association (AERA)
- Korean Society for Educational Evaluation
Journal reviewing
- Journal of Educational and Behavioral Statistics
- Behavior Research Methods
- British Journal of Mathematical and Statistical Psychology
- Educational and Psychological Measurement
- Journal of Educational Measurement
- Educational Measurement: Issues and Practice
- Measurement
- ETS technical review
How the lab mentors
Students here are treated as collaborators rather than as supervisees. They write code, read primary methodological literature, and present work in progress regularly — including work that has not settled yet. Most projects pair a substantive educational question with a methodological one, so that a student leaves with something to say to both audiences.
The practical form this takes: when a student's idea is good, it gets filed as a patent or submitted to a journal rather than left in a course folder. Three of the lab's patent filings and its AIED main-track paper started as student work.
