Publications

Journal Papers

  1. Coordination of Speaking Opportunities in Virtual Reality: Analyzing Interaction Dynamics and Context-Aware Strategies
    Jiadong Chen, Chenghao Gu, Jiayi Zhang, Zhankun Liu, Boxuan Ma and Shin’ichi Konomi
    Applied Sciences Vol.14, No.24:12071, 2024.
    IF 2.5 SCIE JCR Q1 EI
    Link
  2. Investigating Concept Definition and Skill Modeling for Cognitive Diagnosis in Language Learning
    Boxuan Ma, Sora Fukui, Yuji Ando and Shin’ichi Konomi
    Journal of Educational Data Mining (JEDM) Vol.16, No.1, pp.303–329. 2024.
    (⭐Invited Paper)
    Link · Code
  3. Exploring Jump Back Behavior Patterns and Reasons in E-book System
    Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi
    Smart Learning Environment, Vol.9, No.2, 2022.
    IF 6.7 ESCI JCR Q1
    Link
  4. Investigating Course Choice Motivations In University Environments
    Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi
    Smart Learning Environment, Vol.8, No.31, 2021.
    IF 6.7 ESCI JCR Q1
    Link
  5. CourseQ: The Impact of Visual and Interactive Course Recommendation in University Environments
    Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi
    Research and Practice in Technology Enhanced Learning, Vol.16, No.18, 2021.
    IF 3.1 ESCI JCR Q1
    Link

International Conference and Workshop Papers

  1. Personalized Language Learning Using Spaced Repetition Scheduling
    Boxuan Ma, Sora Fukui, Yuji Ando and Shin’ichi Konomi
    International Conference on Artificial Intelligence in Education (AIED 2025), 2025. (Accepted)
    2. Rank A in Core Acceptance Rate: 19%
  2. Ensemble Dendritic Neuron Models for Visual Analytics of Learning Behavior and Early Risk Prediction
    Cheng Tang, Bin Li, Haichuan Yang, Gen Li, Li Chen, Boxuan Ma and Atsushi Shimada
    International Conference on Artificial Intelligence in Education (AIED 2025), 2025. (Accepted)
    3. Rank A in Core Acceptance Rate: 19%
  3. How Generative AI Impact Student Emotion and Engagement in Programming Tasks?
    Boxuan Ma, Liyuan Guo, Tianyuan Yang and Jihong Ding
    International Conference on Artificial Intelligence in Education (AIED 2025), 2025. (Accepted)
    4. Rank A in Core Acceptance Rate: 16%
  4. Connect E-book Content and Structure to Student Jump-Back Behavior
    Boxuan Ma, Min Lu, Li Chen and Masanori Yamada
    IEEE International Conference on Advanced Learning Technologies (ICALT 2025), 2025. (Accepted)
    5. Rank B in Core
  5. Classifying Knowledge Nodes and Analyzing Activation Features: An Integrated Knowledge Graph Approach for Collaborative Problem-Solving
    Li Chen, Gen Li, Boxuan Ma, Cheng Tang, Masanori Yamada and Atsushi Shimada
    IEEE International Conference on Advanced Learning Technologies (ICALT 2025), 2025. (Accepted)
    6. Rank B in Core
  6. Design of AI-Powered Tool for Self-Regulation Support in Programming Education
    Huiyong Li and Boxuan Ma
    CHI 2025 Workshop: Augmented Educators and AI: Shaping the Future of Human-AI Collaboration in Learning (CHI2025), 2025.
    Link
  7. A Framework for Constructing Concept Maps from E-Books Using Large Language Models: Challenges and Future Directions
    Boxuan Ma and Li Chen
    The 7th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (DC@LAK25), 2025.
  8. Enhancing E-Book Learning Dashboards with GPT-Assisted Page Grouping and Adaptive Navigation Link Visualization
    Min Lu, Boxuan Ma, Xuewang Geng and Masanori Yamada
    International Conference on Learning Analytics & Knowledge (LAK25), 2025.
    (Poster)
  9. Towards Better Course Recommendations: Integrating Multi-Perspective Meta-Paths and Knowledge Graphs
    Tianyuan Yang, Baofeng Ren, Chenghao Gu, Boxuan Ma, Tianjia He and Shin'ichi Konomi
    International Conference on Learning Analytics & Knowledge (LAK25), pp.137–147, 2025.
    Rank A in Core Acceptance Rate: 30%
    Link
  10. Boosting Course Recommendation Explainability: A Knowledge Entity-Aware Model using Deep Learning
    Tianyuan Yang, Baofeng Ren, Boxuan Ma, Tianjia He, Chenghao Gu and Shin'ichi Konomi
    International Conference on Computers in Education (ICCE 2024), 2024.
    Rank C in Core
    Link
  11. Exploring Student Perception and Interaction Using ChatGPT In Programming Education
    Boxuan Ma, Li Chen and Shin'ichi Konomi
    International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2024), pp.35-42, 2024.
    Link
  12. Leveraging ChatGPT For Automated Knowledge Concept Generation
    Tianyuan Yang, Baofeng Ren, Chenghao Gu, Boxuan Ma and Shin'ichi Konomi
    International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2024), pp.75-82, 2024.
    (🌟Best Paper Award)
    Link
  13. A Three-Step Knowledge Graph Approach Using LLMs In Collaborative Problem Solving-based Stem Education
    Li Chen, Gen Li, Boxuan Ma, Cheng Tang and Masanori Yamada
    International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2024), pp.51-58, 2024.
    Link
  14. Making Course Recommendation Explainable: A Knowledge Entity-Aware Model using Deep Learning
    Tianyuan Yang, Baofeng Ren, Boxuan Ma, Md Akib Zabed Khan, Tianjia He and Shin'ichi Konomi
    International Conference on Educational Data Mining (EDM 2024), pp.658–663, 2024.
    (Poster)
    Link
  15. Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course
    Boxuan Ma, Li Chen and Shin'ichi Konomi
    International Conference on Artificial Intelligence in Education (AIED 2024), pp.113–126, 2024.
    Rank A in Core
    Link
  16. How Do Strategies for Using ChatGPT Affect Knowledge Comprehension?
    Li Chen, Gen Li, Boxuan Ma, Cheng Tang, Fumiya Okubo and Atsushi Shimada
    International Conference on Artificial Intelligence in Education (AIED 2024), pp.151–162, 2024.
    Rank A in Core
    Link
  17. A Survey on Explainable Course Recommendation Systems
    Boxuan Ma, Tianyuan Yang and Baofeng Ren
    International Conference on Distributed, Ambient, and Pervasive Interactions (DAPI 2024), Held as Part of HCI International 2024, pp.273–287, 2024.
    (⭐Invited Paper)
    Link
  18. Personalized Navigation Recommendation for E-book Page Jump
    Boxuan Ma, Li Chen and Min Lu
    The 6th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (DC@LAK24), 2024.
    Link
  19. Exploring the Effectiveness of Vocabulary Proficiency Diagnosis Using Linguistic Concept and Skill Modeling
    Boxuan Ma, Gayan Prasad Hettiarachchi, Sora Fukui and Yuji Ando
    International Conference on Educational Data Mining (EDM 2023), pp.149–159, 2023.
    Rank B in Core Acceptance Rate: 26%
    Link · Code
  20. Each Encounter Counts: Modeling Language Learning and Forgetting
    Boxuan Ma, Gayan Prasad Hettiarachchi, Sora Fukui and Yuji Ando
    International Conference on Learning Analytics & Knowledge (LAK23), pp.79–88, 2023.
    Rank A in Core Acceptance Rate: 32%
    Link · Code + Data
  21. Format-Aware Item Response Theory for Predicting Vocabulary Proficiency
    Boxuan Ma, Gayan Prasad Hettiarachchi and Yuji Ando
    International Conference on Educational Data Mining (EDM 2022), pp.695–700, 2022.
    (Poster)
    Link
  22. Understanding Student Slide Reading Patterns During the Pandemic
    Boxuan Ma, Min Lu and Shin’ichi Konomi
    International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2021), pp.87-94, 2021.
    Link
  23. Exploration and Explanation: An Interactive Course Recommendation System for University Environments
    Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi
    ACM IUI 2021 Workshops - Fourth International Workshop on Exploratory Search and Interactive Data Analytics (ESIDA), 2021.
    Link
  24. Course Recommendation for University Environment
    Boxuan Ma, Yuta Taniguchi, Shin’ichi Konomi
    International Conference on Educational Data Mining (EDM 2020), pp.460-466, 2020.
    Rank B in Core
    Link
  25. Understanding Jump Back Behaviors in E-book System
    Boxuan Ma, Jiadong Chen, Chenhao Li, Likun Liu, Min Lu, Yuta Taniguchi and Shin’ichi Konomi
    Companion Proceedings of the International Conference on Learning Analytics & Knowledge (LAK20), pp.623-631, 2020.
  26. Exploring the Design Space for Explainable Course Recommendation Systems in University Environments
    Boxuan Ma, Min Lu, Yuta Taniguchi and Shin’ichi Konomi
    Companion Proceedings of the International Conference on Learning Analytics & Knowledge (LAK20), pp.492-499, 2020.
  27. Design of an Elective Course Recommendation System for University Environment
    Boxuan Ma
    Proceedings of the 12th International Conference on Educational Data Mining (EDM2019), pp.699-701, 2019.

Domestic Conference Papers

  1. EEMR: An Emotion-Enhancing Hybrid Recommendation Mechanism for Music Playlists
    Feike Xu, Boxuan Ma and Shin'ichi Konomi
    Special Interest Group on Web Intelligence and Interaction, 2024.
    (🌟Student Encouragement Award)
  2. Identification and Comparison of ChatGPT Utilization Strategies for Supporting Computer Science (コンピュータサイエンスにおけるChatGPTの役割：理論と実践の視点から活用方略の特定と比較)
    Li Chen, Boxuan Ma and Atsushi Shimada
    The Autumn Conference of JSET, 2024.
  3. Making Course Recommender Systems Interpretable: A Feature-aware Deep Learning-based Approach
    Tianyuan Yang, Baofeng Ren, Boxuan Ma and Shin’ichi Konomi
    The 86th National Convention of IPSJ, 2024.
  4. Learning Path Recommendation In University Environments Based on Sequence Mining
    Boxuan Ma, Yuta Taniguchi, Shin’ichi Konomi
    The 81st National Convention of IPSJ, pp.287-288, 2019.
  5. Design a Course Recommendation System Based on Association Rule for Hybrid Learning Environments
    Boxuan Ma, Yuta Taniguchi, Shin’ichi Konomi
    Hinokuni-Land of Fire Information Processing Symposium, pp.1-7, 2019.
  6. Comparative Analysis of Adaptive Learning Path Recommendation Algorithms
    Boxuan Ma, Yuta Taniguchi, Shin’ichi Konomi
    Joint Conference of Electrical, Electronics and Information Engineers in Kyushu, 2018.