I am a Master's student at the POSTECH NLP Lab (Pohang University of Science and Technology), Republic of Korea, where I am privileged to be advised by Prof. Gary Geunbae Lee and Prof. Hyounghun Kim. My research lies at the intersection of Natural Language Processing (NLP) and AI in Education (AIEd), with a primary focus on Knowledge Tracing and Student Simulation.

Before joining graduate school, I taught high school mathematics to students with diverse learning needs. That experience led me to a central research question: how can AI support genuinely personalized learning in real educational settings? My current work aims to bridge advanced language technologies and practical educational applications.

AI in Education, Knowledge Tracing, Student Simulation

E-mail : sjin4861@postech.ac.kr

• Behavior-Aware Item Modeling via Dynamic Procedural Solution Representations for Knowledge Tracing 2026, [Paper]
• A Multi-Agent Framework for Feature-Constrained Difficulty Control in Reading Comprehension Item Generation 2026, In Progress
• Estimated Tardiness-based Reinforcement Learning Solution to Repeatable Job-Shop Scheduling Problems 2025 [Paper]

• Teaching Assistant @ POSCO Youth AI & Big Data Academy, Winter 2025 Natural Language Generation
• Teaching Assistant @ Pusan National University, Spring 2025 Software Design and Experiment
• Mathematics Instructor @ Miju Academy, Dec. 2022 – Jun. 2025 Korean SAT Mathematics
• Math & Physics Mentor @ ETOOS 247, 2021 Korean SAT Mathematics
• Math Mentor @ Yangjeong Youth Center, 2020 Korean GED Mathematics Education Volunteer