CourseQ: the impact of visual and interactive course recommendation in university environments B Ma, M Lu, Y Taniguchi, S Konomi Research and practice in technology enhanced learning 16, 1-24, 2021 | 30 | 2021 |
Course Recommendation for University Environments B Ma, Y Taniguchi, S Konomi International educational data mining society, 2020 | 26 | 2020 |
Investigating course choice motivations in university environments B Ma, M Lu, Y Taniguchi, S Konomi Smart Learning Environments 8, 1-18, 2021 | 13 | 2021 |
Exploration and Explanation: An Interactive Course Recommendation System for University Environments. B Ma, M Lu, Y Taniguchi, Shin'ichi Konomi IUI Workshops, 2021 | 12 | 2021 |
Exploring jump back behavior patterns and reasons in e-book system B Ma, M Lu, Y Taniguchi, S Konomi Smart Learning Environments 9, 1-23, 2022 | 10 | 2022 |
Design a course recommendation system based on association rule for hybrid learning environments B Ma, Y Taniguchi, S Konomi Information processing society of Japan 7, 2019 | 5 | 2019 |
Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course B Ma, L Chen, S Konomi International Conference on Artificial Intelligence in Education, 113-126, 2024 | 4 | 2024 |
Each encounter counts: Modeling language learning and forgetting B Ma, GP Hettiarachchi, S Fukui, Y Ando LAK23: 13th International Learning Analytics and Knowledge Conference, 79-88, 2023 | 4 | 2023 |
Format-aware item response theory for predicting vocabulary proficiency B Ma, GP Hettiarachchi, Y Ando Proceedings of the 15th International Conference on Educational Data Mining, 695, 2022 | 4 | 2022 |
Understanding Jump Back Behaviors in E-book System B Ma, J Chen, C Li, L Liu, M Lu, Y Taniguchi, S Konomi Companion Proceedings of the 10th International Conference on Learning …, 2020 | 3 | 2020 |
Making Course Recommendation Explainable: A Knowledge Entity-Aware Model using Deep Learning T Yang, B Ren, B Ma, MAZ Khan, T He, S Konomi The 17th International Conference on Educational Data Mining, 658–663, 2024 | 2 | 2024 |
Exploring the Design Space for Explainable Course Recommendation Systems in University Environments B Ma, M Lu, Y Taniguchi, S Konomi Companion Proceedings of the 10th International Conference on Learning …, 2020 | 2 | 2020 |
Design of an elective course recommendation system for university environment B Ma 12th International Conference on Educational Data Mining, EDM 2019, 699-701, 2019 | 2 | 2019 |
How Do Strategies for Using ChatGPT Affect Knowledge Comprehension? L Chen, G Li, B Ma, C Tang, F Okubo, A Shimada International Conference on Artificial Intelligence in Education, 151-162, 2024 | 1 | 2024 |
A Survey on Explainable Course Recommendation Systems B Ma, T Yang, B Ren International Conference on Distributed, Ambient, and Pervasive Interactions …, 2024 | 1 | 2024 |
Exploring the Effectiveness of Vocabulary Proficiency Diagnosis Using Linguistic Concept and Skill Modeling. B Ma, GP Hettiarachchi, S Fukui, Y Ando International Educational Data Mining Society, 149–159, 2023 | 1 | 2023 |
Understanding Student Slide Reading Patterns During The Pandemic B Ma, M Lu, S Konomi 18th International Conference on Cognition and Exploratory Learning in …, 2021 | 1 | 2021 |
Boosting Course Recommendation Explainability: A Knowledge Entity-Aware Model using Deep Learning T Yang, B Ren, B Ma, T He, C Gu, S Konomi Proceedings of the 32nd International Conference on Computers in Education …, 2024 | | 2024 |
Investigating Concept Definition and Skill Modeling for Cognitive Diagnosis in Language Learning B Ma, S Fukui, Y Ando, S Konomi Journal of Educational Data Mining 16 (1), 303-329, 2024 | | 2024 |
LEVERAGING CHATGPT FOR AUTOMATED KNOWLEDGE CONCEPT GENERATION T YANG, B REN, C GU, B MA, S KONOMI 21th International Conference on Cognition and Exploratory Learning in …, 2024 | | 2024 |