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

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