Publications

Journal Papers

  1. Integrating Forgetting Behavior and Linguistic Features in Language Learning Models
    Boxuan Ma*, Sora Fukui, Yuji Ando and Shin'ichi Konomi
    ACM Transactions on Knowledge Discovery from Data, Vol.20, No.2:19, 2026.
    IF 4.8 SCIE JCR Q1 EI CCF-B
    Link
  2. Leveraging Personalized Diversity Level for Recommendations with Knowledge Graph
    Baofeng Ren, Tianyuan Yang, Boxuan Ma and Shin'ichi Konomi
    Journal of Intelligent Information Systems, 2025.
    IF 3.4 SCIE JCR Q2 EI CCF-C
    Link
  3. Enhancing Course Recommendation with LLM-Generated Concepts: A Unified Framework for Side Information Integration
    Tianyuan Yang, Baofeng Ren, Chenghao Gu, Feike Xu, Boxuan Ma and Shin'ichi Konomi
    Big Data and Cognitive Computing, Vol.9, No.12:311, 2025.
    IF 4.4 ESCI JCR Q1 EI
    Link
  4. Leveraging LLMs for Automated Extraction and Structuring of Educational Concepts and Relationships
    Tianyuan Yang, Baofeng Ren, Chenghao Gu, Tianjia He, Boxuan Ma and Shin'ichi Konomi
    Machine Learning and Knowledge Extraction, Vol.7, No.3:103, 2025.
    IF 6.0 ESCI JCR Q1
    Link
  5. 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 Q2 EI
    Link
  6. 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
  7. Exploring Jump Back Behavior Patterns and Reasons in E-book System
    Boxuan Ma*, Min Lu, Yuta Taniguchi, and Shin'ichi Konomi
    Smart Learning Environments, Vol.9, No.2, 2022.
    IF 12.1 ESCI JCR Q1
    Link
  8. Investigating Course Choice Motivations In University Environments
    Boxuan Ma*, Min Lu, Yuta Taniguchi, and Shin'ichi Konomi
    Smart Learning Environments, Vol.8, No.31, 2021.
    IF 12.1 ESCI JCR Q1
    Link
  9. CourseQ: The Impact of Visual and Interactive Course Recommendation in University Environments
    Boxuan Ma*, Min Lu, Yuta Taniguchi, and Shin'ichi Konomi
    Research and Practice in Technology Enhanced Learning, Vol.16, No.18, 2021.
    IF 3.0 ESCI JCR Q1
    Link

Book Chapter

  1. Examining Student-ChatGPT Interactions in Programming Education
    Boxuan Ma*, Li Chen and Shin'ichi Konomi
    Teaching and Learning in the Generative Artificial Intelligence Age, pp.97-114, 2026.
    ⭐ Invited Paper
    Link
  2. Leveraging GPT for Concept Generation and Knowledge Graph Construction in Educational Recommender Systems
    Tianyuan Yang, Baofeng Ren, Chenghao Gu, Boxuan Ma and Shin'ichi Konomi
    Teaching and Learning in the Generative Artificial Intelligence Age, pp.75-96, 2026.
    ⭐ Invited Paper
    Link

ArXiv Papers

  1. CodeExemplar: Example-Based Scaffolding for Introductory Programming in the GenAI Era
    Boxuan Ma and Shin'ichi Konomi
    [cs.CY], 2026.
    Link
  2. Designing a Meta-Reflective Dashboard for Instructor Insight into Student-AI Interactions
    Boxuan Ma, Baofeng Ren, Huiyong Li, Gen Li, Li Chen, Atsushi Shimada, and Shin'ichi Konomi
    [cs.HC], 2026.
    Link
  3. Design Implications for Student and Educator Needs in AI-Supported Programming Learning Tools
    Boxuan Ma, Yinjie Xie, Huiyong Li, Gen Li, Li Chen, Atsushi Shimada, and Shin'ichi Konomi
    [cs.HC], 2026.
    Link
  4. Three Years with Classroom AI in Introductory Programming: Shifts in Student Awareness, Interaction, and Performance
    Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Atsushi Shimada, and Shin'ichi Konomi
    [cs.CY], 2026.
    Link
  5. Scaffolding Metacognition in Programming Education: Understanding Student-AI Interactions and Design Implications
    Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Yinjie Xie, Chenghao Gu, Atsushi Shimada, and Shin'ichi Konomi
    [cs.HC], 2025.
    Link
  6. Examining GPT's Capability to Generate and Map Course Concepts and Their Relationship
    Tianyuan Yang, Ren Baofeng, Chenghao Gu, Tianjia He, Boxuan Ma and Shin'ichi Konomi
    [cs.CY], 2025.
    Link
  7. How Good Are Large Language Models for Course Recommendation in MOOCs?
    Boxuan Ma, Md Akib Zabed Khan, Tianyuan Yang, Agoritsa Polyzou and Shin'ichi Konomi
    [cs.IR], 2025.
    Link
  8. Design of AI-Powered Tool for Self-Regulation Support in Programming Education
    Huiyong Li and Boxuan Ma
    [cs.HC], 2025.
    Link
  9. 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
    [cs.CY], 2024.
    Link

International Conference and Workshop Papers

  1. Learner-Initiated Difficulty Signals for Personalized Formative Quizzes in Digital Textbooks
    Masanori Yamada, Xuewang Geng, Shuki Nagao, Kohei Ozaki, Boxuan Ma and Li Chen
    IEEE International Conference on Advanced Learning Technologies (ICALT 2026), 2026. (To appear)
    Core B
  2. Multimodal Learning Analytics for Programming: Cognitive Difficulties, Attention Dynamics, and Physiological Regulation
    Huiyong Li and Boxuan Ma
    International Conference on Educational Data Mining (EDM 2026), 2026. (To appear)
    Core B Acceptance Rate: 21%
  3. Augmenting Student Profiles and Course Attributes with Large Language Models for Course Recommendation
    Tianyuan Yang, Ren Baofeng, Chenghao Gu, Feike Xu, Boxuan Ma and Shin'ichi Konomi
    International Conference on Educational Data Mining (EDM 2026), 2026. (To appear)
    Core B Acceptance Rate: 21%
  4. Deriving Common Novice Programming Error Patterns from Student Submissions using LLMs
    Boxuan Ma*, and Huiyong Li
    International Conference on Learning Evidence and Analytics (ICLEA 2026), 2026. (To appear)
    Poster
  5. Capture-Calibrate-Coach: A Graph-Based Framework for Knowledge Monitoring Estimation and Adaptive Feedback
    Gen Li, Li Chen, Cheng Tang, Boxuan Ma, Yuncheng Jiang, Daisuke Deguchi, Takayoshi Yamashita and Atsushi Shimada
    International Conference on Artificial Intelligence in Education (AIED 2026), 2026. (To appear)
    Core A Acceptance Rate: 16.7%
  6. Visual Attention Transitions and Self-Regulated Help Seeking in Programming Comprehension
    Takuya Iwanaga, Huiyong Li, Boxuan Ma and Chengjiu Yin
    International Conference on Artificial Intelligence in Education (AIED 2026), 2026. (To appear)
    Core A Acceptance Rate: 15.3%
  7. DCL4D: Enabling Distributed Cooperative Learning Environments for Development
    Shin'ichi Konomi, Doreen Mushi, Lulu Gao, Baofeng Ren, Tianyuan Yang, Jiadong Chen,
    Boxuan Ma, Yuuki Nishiyama, Koheni Hatano, and Kaoru Sezaki
    International Conference on Human-Computer Interaction (HCII2026), 2026. (To appear)
  8. Understanding Study Approaches in E-Book Logs and Their Relation to Metacognition and Performance
    Boxuan Ma*, Li Chen, Xuewang Geng and Masanori Yamada
    International Conference on Learning Analytics and Knowledge (LAK26), 2026. (To appear)
    Core A Acceptance Rate: 29%
    Link
  9. Designing a Meta-Reflective Dashboard for Understanding Students' Use of AI
    Boxuan Ma
    International Conference on Learning Analytics and Knowledge (LAK26), 2026.
    Poster
    Link
  10. Who Budgets and Who Doesn't? Exploring Student Group Differences to Design Inclusive Budgeting Tools
    Yinjie Xie, Boxuan Ma, and Shin'ichi Konomi
    ACM/SIGAPP Symposium on Applied Computing (SAC 2026), 2026. (To appear)
    Poster
  11. Evaluating the Effectiveness of Large Language Models for Course Recommendation Tasks
    Boxuan Ma*, Md Akib Zabed Khan, Tianyuan Yang, Agoritsa Polyzou and Shin'ichi Konomi
    International Conference on Computers in Education (ICCE 2025), 2025.
    Core C Acceptance Rate: 22.2%
    Link
  12. CodeRunner Agent: Integrating AI Feedback and Self-Regulated Learning to Support Programming Education
    Huiyong Li and Boxuan Ma*
    International Conference on Computers in Education (ICCE 2025), 2025.
    Core C
    Link
  13. Examining Metacognitive Difficulties in Learning Programming: Analysis of Student Behavior and Strategy
    Huiyong Li, Boxuan Ma* and Chengjiu Yin
    International Conference on Learning Evidence and Analytics (ICLEA 2025), 2025.
    🌟 Best Short Paper Award
    Link
  14. 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.
    Core A Acceptance Rate: 18%
    Link
  15. 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.
    Core A Acceptance Rate: 18%
    Link
  16. 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.
    Core A Acceptance Rate: 18%
    Link
  17. 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.
    Core B
    Link
  18. 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.
    Core B Acceptance Rate: 21%
    Link
  19. 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
  20. 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.
    Link
  21. 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
    Link
  22. 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.
    Core A Acceptance Rate: 30%
    Link
  23. 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.
    Core C
    Link
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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.
    Core A
    Link
  29. 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.
    Core A
    Link
  30. 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
  31. 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
  32. 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.
    Core B Acceptance Rate: 26%
    Link Code
  33. 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.
    Core A Acceptance Rate: 32%
    Link Code + Data
  34. 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
  35. 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
  36. Exploration and Explanation: An Interactive Course Recommendation System for University Environments
    Boxuan Ma*, Min Lu, Yuta Taniguchi, and Shin'ichi Konomi
    ACM IUI 2021 Workshops - Fourth International Workshop on Exploratory Search and Interactive Data Analytics (ESIDA), 2021.
    Link
  37. Course Recommendation for University Environment
    Boxuan Ma*, Yuta Taniguchi, and Shin'ichi Konomi
    International Conference on Educational Data Mining (EDM 2020), pp.460-466, 2020.
    Core B
    Link
  38. 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.
    Link
  39. 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.
    Link
  40. 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.
    Link

Domestic Conference Papers

  1. 異種グラフを用いた知識モニタリング推定とメタ認知適応型学習支援
    Gen Li, Li Chen, Cheng Tang, Boxuan Ma, Daisuke Deguchi, Yamashita Takayoshi and Atsushi Shimada
    DEIM2026 第18回データ工学と情報マネジメントに関するフォーラム, 2026.
  2. 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
  3. 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.
  4. 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.
  5. Learning Path Recommendation In University Environments Based on Sequence Mining
    Boxuan Ma, Yuta Taniguchi, and Shin'ichi Konomi
    The 81st National Convention of IPSJ, pp.287-288, 2019.
  6. Design a Course Recommendation System Based on Association Rule for Hybrid Learning Environments
    Boxuan Ma, Yuta Taniguchi, and Shin'ichi Konomi
    Hinokuni-Land of Fire Information Processing Symposium, pp.1-7, 2019.
  7. Comparative Analysis of Adaptive Learning Path Recommendation Algorithms
    Boxuan Ma, Yuta Taniguchi, and Shin'ichi Konomi
    Joint Conference of Electrical, Electronics and Information Engineers in Kyushu, 2018.