Development of large-scale structural analysis system on a supercomputer. - Jaesung Kim; SangMin Lee; HeeSeok Jung; Myungil Kim; Jae Yeol Lee; NakJoon Choi (HPCS, 2011)

Why and What to Teach: AI Curriculum for Elementary School. - Seonghun Kim; Yeonju Jang; Woojin Kim; Seongyune Choi; HeeSeok Jung; Soo-Hwan Kim; Hyeoncheol Kim (AAAI, 2021)

Student Knowledge Prediction for Teacher-Student Interaction. - Seonghun Kim; Woojin Kim; Yeonju Jang; Seongyune Choi; HeeSeok Jung; Hyeoncheol Kim (AAAI, 2021)

DiKT: Dichotomous Knowledge Tracing. - Seounghun Kim; Woojin Kim; HeeSeok Jung; Hyeoncheol Kim (ITS, 2021)

Artificial Association Neural Networks. - Seokjun Kim; Jaeeun Jang; HeeSeok Jung; Hyeoncheol Kim (CoRR, 2021)

Analyzing Teacher Competency with TPACK for K-12 AI Education. - Seonghun Kim; Yeonju Jang; Seongyune Choi; Woojin Kim; HeeSeok Jung; Soo-Hwan Kim; Hyeoncheol Kim (Künstliche Intell., 2021)

KPCR: Knowledge Graph Enhanced Personalized Course Recommendation. - HeeSeok Jung; Yeonju Jang; Seonghun Kim; Hyeoncheol Kim (AI, 2022)

Practical early prediction of students' performance using machine learning and eXplainable AI. - Yeonju Jang; Seongyune Choi; HeeSeok Jung; Hyeoncheol Kim (Educ. Inf. Technol., 2022)

Correction to: Analyzing Teacher Competency with TPACK for K-12 AI Education. - Seonghun Kim; Yeonju Jang; Seongyune Choi; Woojin Kim; HeeSeok Jung; Soohwan Kim; Hyeoncheol Kim (Künstliche Intell., 2022)

Language Proficiency Enhanced Knowledge Tracing. - HeeSeok Jung; Jaesang Yoo; Yohaan Yoon; Yeonju Jang (ITS, 2023)

CLST: Cold-Start Mitigation in Knowledge Tracing by Aligning a Generative Language Model as a Students' Knowledge Tracer. - HeeSeok Jung; Jaesang Yoo; Yohaan Yoon; Yeonju Jang (CoRR, 2024)

Gamified Team Programming in MUVEs: Effects on Student Engagement and Achievement. - Yeonju Jang; Seongyune Choi; HeeSeok Jung; Hyeoncheol Kim (ITS (2), 2025)