| Why and what to teach: AI curriculum for elementary school S Kim, Y Jang, W Kim, S Choi, H Jung, S Kim, H Kim proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15569 …, 2021 | 69 | 2021 |
| Analyzing teacher competency with TPACK for K-12 AI education S Kim, Y Jang, S Choi, W Kim, H Jung, S Kim, H Kim KI-Künstliche Intelligenz 35 (2), 139-151, 2021 | 57 | 2021 |
| Practical early prediction of students’ performance using machine learning and eXplainable AI Y Jang, S Choi, H Jung, H Kim Education and Information Technologies 27 (9), 12855-12889, 2022 | 29 | 2022 |
| KPCR: Knowledge graph enhanced personalized course recommendation H Jung, Y Jang, S Kim, H Kim Australasian Joint Conference on Artificial Intelligence, 739-750, 2022 | 16 | 2022 |
| Student knowledge prediction for teacher-student interaction S Kim, W Kim, Y Jang, S Choi, H Jung, H Kim Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15560 …, 2021 | 8 | 2021 |
| Language Proficiency Enhanced Knowledge Tracing H Jung, J Yoo, Y Yoon, Y Jang International Conference on Intelligent Tutoring Systems, 3-15, 2023 | 4 | 2023 |
| DiKT: Dichotomous knowledge tracing S Kim, W Kim, H Jung, H Kim Intelligent Tutoring Systems: 17th International Conference, ITS 2021 …, 2021 | 4 | 2021 |
| Correction to: Analyzing Teacher Competency with TPACK for K-12 AI Education. S Kim, Y Jang, S Choi, W Kim, H Jung, S Kim, H Kim Künstliche Intell. 36 (2), 187, 2022 | 1 | 2022 |
| CLST: Cold-Start Mitigation in Knowledge Tracing by Aligning a Generative Language Model as a Students' Knowledge Tracer H Jung, J Yoo, Y Yoon, Y Jang arXiv preprint arXiv:2406.10296, 2024 | | 2024 |
