2026年
Dai, Y., Flanagan, B., & Ogata, H.
What’s more important when developing math recommender systems: accuracy, explainability, or both?
Research and Practice in Technology Enhanced Learning, 21, 004-004, 2026.1.1
https://doi.org/10.58459/rptel.2026.21004
2025年
Woollaston, S., Flanagan, B., Ocheja, P., Toyokawa, Y., & Ogata, H.
ARCHIE: Exploring Language Learner Behaviors in LLM Chatbot-Supported Active Reading Log Data with Epistemic Network Analysis
InProceedings of the 15th International Learning Analytics and Knowledge Conference 2025 Mar 3 (pp. 642-654).
https://doi.org/10.1145/3706468.3706556
Li, H., Majumdar, R., & Ogata, H.
Self-directed extensive reading with social support: effect on reading and learning performance of high and low English proficiency students
Research and Practice in Technology Enhanced Learning, 20, 2025.1.1
https://doi.org/10.58459/rptel.2025.20025
Nakamura, K., Horikoshi, I., Majumdar, R., & Ogata, H.
Extract instructional process from xAPI log data: a case study in Japanese junior high school
Research and Practice in Technology Enhanced Learning, 20, 013-013, 2025.1.1
https://doi.org/10.58459/rptel.2025.20013
Hsu, C. Y., Horikoshi, I., Li, H., Majumdar, R., & Ogata, H. (2025)
Designing data-informed support for building learning habits in the Japanese K12 context
Research and Practice in Technology Enhanced Learning, 20, 014-014, 2025.1.1
https://doi.org/10.58459/rptel.2025.20014
Takii, K., Flanagan, B., Li, H., Yang, Y., Koike, K., & Ogata, H.
Explainable eBook recommendation for extensive reading in K-12 EFL learning
Research and Practice in Technology Enhanced Learning, 20, 2025.1.1
https://doi.org/10.58459/rptel.2025.20027
Liang, C., Horikoshi, I., Majumdar, R., & Ogata, H.
Rater behaviors in peer evaluation: Patterns and early detection with learner model
Research and Practice in Technology Enhanced Learning, 20,012, 2025.1.1
https://doi.org/10.58459/rptel.2025.20012
Nakamoto, R., Flanagan, B., Dai, Y., Yamauchi, T., Takami, K., & Ogata, H.
Integrating self-explanation and operational data for impasse detection in mathematical learning
Research and Practice in Technology Enhanced Learning, 20, 019, 2025.1.1
https://doi.org/10.58459/rptel.2025.20019
2024年
Takami, K., Flanagan, B., Dai, Y., & Ogata, H.
Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender
International Journal of Distance Education Technologies (IJDET), 22(1), 1-23, 2024
https://doi.org/10.4018/IJDET.337600
Yang, Y., Li, H., Majumdar, R., & Ogata, H.
GOAL system for online self-direction practice: exploring students’ behavioral patterns and the impact on academic achievement in the high school EFL context
Journal of Computers in Education, 11(2), 595-614, (2024)
https://doi.org/10.1007/s40692-023-00272-0
Yang, A. C., Lin, J. Y., Lin, C. Y., & Ogata, H.
Enhancing python learning with PyTutor: Efficacy of a ChatGPT-Based intelligent tutoring system in programming education
Computers and Education: Artificial Intelligence, 7, 100309, 2024.12
https://doi.org/10.1016/j.caeai.2024.100309
Dai, Y., Hoppe, H. U., Flanagan, B., Takami, K., & Ogata, H.
Do personal recommendations need to be personalized? Investigating the relationships between student differences and educational recommendations
Smart Learning Environments, 11(1), 61, 2024.12.18
https://doi.org/10.1186/s40561-024-00349-y
Ocheja, P., Flanagan, B., Dai, Y., & Ogata, H.
How Good is ChatGPT in Giving Adaptive Guidance Using Knowledge Graphs in E-Learning Environments?
arXiv preprint arXiv:2412.03856, 2024.12.5
https://doi.org/10.48550/arXiv.2412.03856
Liang, C., Takii, K., & Ogata, H.
Proficiency Modeling in Junior High Math: Adapted Cognitive Statistical Models to E-Book Learning Contexts
InInternational Conference on Computers in Education 2024 Nov 25.
https://doi.org/10.58459/icce.2024.4847
Takii, K., Liang, C., & Ogata, H.
Open Knowledge and Learner Model: Mathematical Representation and Applications as Learning Support Foundation in EFL
InInternational Conference on Computers in Education 2024 Nov 25.
https://doi.org/10.58459/icce.2024.4902
Ishihara, M., Horikoshi, I., & Ogata, H.
Linking Real-World Experiences with Course Contents: A Text Mining Approach Toward Effective “There and Back Again”
InInternational Conference on Computers in Education 2024 Nov 25.
https://library.apsce.net/index.php/ICCE/article/view/4881
Yamauchi, T., Hoppe, H. U., Flanagan, B., & Ogata, H.
Representing Learning Progression of Unguided Exercise Solving: A Generalization of Wheel-Spinning Detection
In International Conference on Computers in Education, 2024, November
https://library.apsce.net/index.php/ICCE/article/view/4940
Woollaston, S., Flanagan, B., Ocheja, P., Dai, Y., & Ogata, H.
TAMMY: Supporting EFL Translation Practice with an LLM-powered Chatbot
In International Conference on Computers in Education, 2024, November
https://library.apsce.net/index.php/ICCE/article/view/4901
Wang, Z., Hsu, C. Y., Horikoshi, I., Li, Huiyong., Majumdar, R., & Ogata, H.
Classifying Self-Reflection Notes: Automation Approaches for GOAL System
In International Conference on Computers in Education, 2024, November
https://library.apsce.net/index.php/ICCE/article/view/4883
Hsu, C. Y., Horikoshi, I., Li, H., Majumdar, R., & Ogata, H.
Designing Recommendations for Productive Learning Habit-Building from Learning Logs
In International Conference on Computers in Education, 2024, November
https://library.apsce.net/index.php/ICCE/article/view/4843
Atake, J., Hsu, C. Y., Li, H., Horikoshi, I., Majumdar, R., & Ogata, H.
Comparison of Learners’ Self-Direction Behavior Across Contexts and Phases
InInternational Conference on Computers in Education 2024 Nov 25
https://library.apsce.net/index.php/ICCE/article/view/4852
Atake, J., Hsu, C. Y., Horikoshi, I., & Ogata, H.
Extraction of Important Characteristics for Data-Informed Guidance and Counseling from Daily Usage Log Data
In International Conference on Computers in Education, 2024, November
https://library.apsce.net/index.php/ICCE/article/view/4941
Jiang, P., Liang, C., & Ogata, H.
Data-Driven Peer Recommendation and Its Applications in Extracurricular Learning
InInternational Conference on Computers in Education 2024 Nov 25
https://library.apsce.net/index.php/ICCE/article/view/4888
Hamada, S., Toyokawa, Y., Kano, T., Horikoshi, I., & Ogata, H
What Insights Are Gained from Students’ Trace Data in Homework?
In International Conference on Computers in Education, 2024.11.25
https://library.apsce.net/index.php/ICCE/article/view/4876
Hamada, S., Horikoshi, I., & Ogata, H.
Relationship Between Students’ Scores in Weekly Tests and Final Exam
In International Conference on Computers in Education, 2024.11.25
https://library.apsce.net/index.php/ICCE/article/view/5056
Ichidate, H., Dai, Y.., Flanagan, B., & Ogata, H.
Exploring Reading Speed Profiles in EFL Extensive Reading
Speed Profiles in EFL Extensive Reading. In International Conference on Computers in Education, 2024.11.25
https://library.apsce.net/index.php/ICCE/article/view/5058
Tonosaki, S., Kano, T., Hamada, S., Horikoshi, I., & Ogata, H.
Toward Contextualized Handwriting Process Analysis: Comparison Between Problem Types in Math
In International Conference on Computers in Education, 2024.11.25
https://library.apsce.net/index.php/ICCE/article/view/5063
Okayama, Y., Liang, C., Takii, K., & Ogata, H.
Identifying Key Indicators of Proficiency in Junior High Math: Roles of Daily Handwriting Learning Logs
In International Conference on Computers in Education. 2024.11.25
https://doi.org/10.58459/icce.2024.5052
若林魁人、佐藤仁、高橋哲、加納圭
”教育データ EdTechの導入とELSI 対応のグローバル動向に関するインタビュー記録”
ELSI NOTE, 47, 1-32. 2024.10.7
https://doi.org/10.18910/98264
堀口悟郎
”EdTechと子どもの権利”
Law Journal 30・31号, 2024.10
Hsu, C. Y., Horikoshi, I., Li, H., Majumdar, R., & Ogata, H.
Evaluating Productivity of Learning Habits Using Math Learning Logs: Do K12 Learners Manage Their Time Effectively?
In: Ferreira Mello, R., Rummel, N., Jivet, I., Pishtari, G., Ruipérez Valiente, J.A. (eds) Technology Enhanced Learning for Inclusive and Equitable Quality Education. EC-TEL 2024. Lecture Notes in Computer Science, vol 15159. Springer, Cham, 2024.9.13
https://doi.org/10.1007/978-3-031-72315-5_12
Liang, C., Horikoshi, I., Ogata, H.
Enabling Mixed Genetic Algorithm for Automatic Group Formation System
In: Santos, P., Álvarez, C., Hernández-Leo, D., Kobayashi, M., Zurita, G. (eds) Collaboration Technologies and Social Computing. CollabTech 2024. Lecture Notes in Computer Science, vol 14890. Springer, Cham. 2024.8.20
https://doi.org/10.1007/978-3-031-67998-8_16
Hsu, C. Y., Horikoshi, I., Majumdar, R., & Ogata, H.
Extracting stages of learning habits from year-long self-directed extensive reading logs
Educational Technology & Society, 27(3), 134-146, 2024.7
https://doi.org/10.30191/ETS.202407_27(3).RP08
Majumdar, R., Li, H., Yang, Y., & Ogata, H.
GOAL-A data-rich environment to foster self-direction skills across learning and physical contexts
Educational Technology & Society, 27(3), 61-82, 2024.7
https://doi.org/10.30191/ETS.202407_27(3).RP04
Nakamoto, R., Flanagan, B., Dai, Y., Takami, K., & Ogata, H.
An Automated Impasse Detection System Based on the Analysis of Self-Explanations in Mathematics
In 2024 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 75-79). IEEE, 2024, July
https://ieeexplore.ieee.org/document/10645834
Ogata, H., Liang, C., Toyokawa, Y., Hsu, C.-Y., Nakamura, K., Yamauchi, T., Flanagan, B., Dai, Y., Takami, K., Horikoshi, I., & Majumdar, R.
Co-designing data-driven educational technology and practice: Reflections from the Japanese context
Technology Knowledge and Learning, springer, 2024.7.3
https://doi.org/10.1007/s10758-024-09759-w
Nakamura, K., Ishihara, M., Horikoshi, I., & Ogata, H.
Uncovering insights from big data: change point detection of classroom engagement
Smart Learning Environments, 11(1), 31, 2024.7.1
https://doi.org/10.1186/s40561-024-00317-6
Gorham, T., Majumdar, R., & Ogata, H.
Learning analytics of peer feedback on communicative skills in an EFL course across different learning modalities
Studies in Educational Evaluation, 81, 101352, June 2024
https://doi.org/10.1016/j.stueduc.2024.101352
Hiroyuki Kuromiya, Rwitajit Majumdar, Izumi Horikoshi, Hiroaki Ogata.
Learning analytics for student homework activities during a long break: Evidence from K-12 education in Japan
Research and Practice in Technology Enhanced Learning, Vol. 19, 2024.5.20
10.58459/rptel.2024.19034
Liang, C., Majumdar, R., Horikoshi, I., & Ogata, H.
Data-Driven Support Infrastructure for Iterative Team-Based Learning
IEEE Access, IEEE Access, PP(99), 2024.4.25
https://doi.org/10.1109/ACCESS.2024.3393421
Hiroto Morita, Kousuke Mouri, Masaru Okamoto, Yukihiro Matsubara.
Visualisation of learners’ level of understanding of lectures using digital textbook data
International Journal of Mobile Learning and Organisation, Vol.19, No.2, pp.177-198, 2025.3.31
https://doi.org/10.1504/IJMLO.2025.145321
Kuromiya, H., Majumdar, R., Horikoshi, I., & Ogata, H.
Learning analytics for student homework activities during a long break: Evidence from K-12 education in Japan
Research and Practice in Technology Enhanced Learning, 19, 2024.3.20
https://doi.org/10.58459/rptel.2024.19034
Zixu Wang, Chia-Yu Hsu, Junya Atake, Izumi Horikoshi, Huiyong Li, Rwitajit Majumdar, Hiroaki Ogata.
Automated Classification of Student’s Self-reflection Using BERT: Consideration and Possibilities for Self-Directed Learning Support.
In Companion Proceedings of the 14th International Conference on Learning Analytics and Knowledge, pp.3, 2024.3.20
10.13140/RG.2.2.22951.56484
Junya Atake, Chia-Yu Hsu, Huiyong Li, Izumi Horikoshi, Rwitajit Majumdar, Hiroaki Ogata.
Understanding Learners’ Cross-context Self-direction Skill Achievement Behavior
In Companion Proceedings of the 14th International Conference on Learning Analytics and Knowledge, pp.103-105, 2024.3.20
10.13140/RG.2.2.29662.45129
Manabu Ishihara, Yuko Toyokawa, Izumi Horikoshi, Hiroaki Ogata.
Learning Analytics for Ubiquitous Learning: Linking In-class and Out-of-class Contexts
In Companion Proceedings of the 14th International Conference on Learning Analytics and Knowledge, pp.154-156, 2024.3.20
Takii, K., Koike, K., Horikoshi, I., Flanagan, B., & Ogata, H.
OKLM: A Universal Learner Model Integrating Everyday Learning Activities with Knowledge Maps
In Companion Proceedings of the 14th International Conference on Learning Analytics and Knowledge, pp. 191-193, 2024.3.20
https://www.researchgate.net/publication/379268383_OKLM_A_Universal_Learner_Model_Integrating_Everyday_Learning_Activities_with_Knowledge_Maps
Taito Kano, Changao Liang, Izumi Horikoshi, Hiroaki Ogata.
Potentials of Customizable Data-driven Dashboard: Insights from University Teacher
In Companion Proceedings of the 14th International Conference on Learning Analytics and Knowledge, pp.194-196, 2024.3.20
Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata.
Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender
International Journal of Distance Education Technologies, Vol. 22, Issue 1, 2024.2.21
10.4018/ijdet.337600
Brendan Flanagan, Zejie Tian, Taisei Yamauchi, Yiling Dai, Hiroaki Ogata.
A human-in-the-loop system for labeling knowledge components in Japanese mathematics exercises
Research and Practice in Technology Enhanced Learning, Vol. 19, 2024.1.1
10.58459/rptel.2024.19028
2023年
Taisei Yamauchi, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Brendan Flanagan and Hiroaki Ogata.
Improved Automated Labeling of Mathematical Exercises in Japanese
Proceedings of 31st International Conference on Computers in Education (ICCE 2023). Asia-Pacific Society for Computers in Education (APSCE), pp. 78-87, 2023.12
Yiling Dai, Brendan Flanagan and Hiroaki Ogata.
Can We Ensure Accuracy and Explainability for Math Recommender Sytem?
Proceedings of 31st International Conference on Computers in Education (ICCE 2023). Asia-Pacific Society for Computers in Education (APSCE), pp. 88-97, 2023.12
Changhao Liang, Izumi Horikoshi, Rwitajit Majumdar, Hiroaki Ogata.
Tackling Unserious Raters in Peer Evaluation: Behavior Analysis and Early Detection with Learner Model
Proceedings of 31st International Conference on Computers in Education (ICCE 2023).
Asia-Pacific Society for Computers in Education (APSCE), pp. 154-163, 2023.12
Isanka Wijerathne, Brendan Flanagan, Yiling Dai, Hiroaki Ogata.
ECLAIR: A Centralized Al-Powered Recommendations System in a Multi-Node EXAIT System
Proceedings of 31st International Conference on Computers in Education (ICCE 2023). Asia-Pacific Society for Computers in Education (APSCE), pp. 422-428, 2023.12
https://www.researchgate.net/publication/377306378_ECLAIR_A_Centralized_AI-Powered_Recommendations_System_in_a_Multi-Node_EXAIT_System
Patrick Ocheja, Rwitajit Majumdar, Brendan Flanagan, Hiroaki Ogata.
Sharing Learning Log while maintaining privacy over blockchain: Heuristic Evaluation of BOLL
Proceedings of 31st International Conference on Computers in Education (ICCE 2023).
Asia-Pacific Society for Computers in Education (APSCE), pp. 429-434, 2023.12
https://www.researchgate.net/publication/376455528_Sharing_Learning_Log_while_maintaining_privacy_over_blockchain_Heuristic_Evaluation_of_BOLL
Chia Yu Hsu, Mandukhai Otgonbaatar, Izumi Horikoshi, Huiyong Li, Rwitajit Majumdar, Hiroaki Ogata.
Chronotypes of Learning Habits in Weekly Math Learning of Junior High School
Proceedings of 31st International Conference on Computers in Education (ICCE 2023).
Asia-Pacific Society for Computers in Education (APSCE), pp. 566-568, 2023.12
10.13140/RG.2.2.26307.00800
Kensuke Takii, Naomichi Tanimura, Brendan Flanagan and Hiroaki Ogata.
Construction of an English Grammar Quiz Recommendation System Using Explanation by a Knowedge Map
Proceedings of 31st International Conference on Computers in Education (ICCE 2023). Asia-Pacific Society for Computers in Education (APSCE), pp. 795-800, 2023.12
Taisei Yamauchi, Yuta Nakamoto, Kyosuke Takami, Rwitajit Majumdar, Hiroaki Ogata.
Matching Intervention Messages Considering Complex Personality Types of High School Students
Proceedings of 31st International Conference on Computers in Education (ICCE 2023). Asia-Pacific Society for Computers in Education (APSCE), pp. 901-906, 2023.12
Taito Kano, Izumi Horikoshi, Kento Koike and Hiroaki Ogata.
Data-Driven Competency Assessment Supporting System for Teachers
Proceedings of 31st International Conference on Computers in Education (ICCE 2023). Asia-Pacific Society for Computers in Education (APSCE), pp. 926-935, 2023.12
Kohei Nakamura, Izumi Horikoshi, Rwitajit Majumdar, Hiroaki Ogata.
Visualization of Instructional Patterns from Daily Teaching Log Data
Proceedings of 31st International Conference on Computers in Education (ICCE 2023).
Asia-Pacific Society for Computers in Education (APSCE), pp. 936-945, 2023.12
Junya Atake, Taito Kano, Kohei Nakamura, Chia-Yu Hsu, Izumi Horikoshi and Hiroaki Ogata.
Extraction of Characteristic Answering Behavior Using Handwritten Log Data
Proceedings of 31st International Conference on Computers in Education (ICCE 2023). Asia-Pacific Society for Computers in Education (APSCE), 2023.12
Kento Koike, Rwitajit Majumdar, H. Ulrich Hoppe, Hiroaki Ogata.
Conceptual Design of WHALE: A Wise Helper Agent for the LEAF Environment
Proceedings of 31st International Conference on Computers in Education (ICCE 2023).
Asia-Pacific Society for Computers in Education (APSCE), 2023.12
Chia Yu Hsu, Izumi Horikoshi, Rwitajit Majumdar, Hiroaki Ogata.
Learning Habits Mining and Data-driven Support of Building Habits in Education
31st International Conference on Computers in Education, ICCE 2023 – Proceedings, 2023.12
Chee-Kit Looi, Siu-Cheng Kong, Ronghuai Huang, Hiroaki Ogata, Jon Mason, Hyo-jeong So andLung-Hsiang Wong.
Towards a Collaborative Vision for Redesigning Education for Harmonious and Thriving Educational Futures in Asia and Beyond: will Seamless IDC Theory lead us there?Proceedings of 31st International Conference on Computers in Education (ICCE 2023). Asia-Pacific Society for Computers in Education (APSCE), 2023.12
Peixuan Jiang, Kensuke Takii, Changhao Liang, Rwitajit Majumdar, Hiroaki Ogata.
Supporting Peer Help Recommendation Based on Learner-Knowledge Model
Proceedings of 31st International Conference on Computers in Education (ICCE 2023). Asia-Pacific Society for Computers in Education (APSCE), 2023.12
Zixu Wang, Rwitajit Majumdar and Hiroaki Ogata.
Impact of Self-analysis Behaviors in GOAL for Japanese High School EFL Learners
Proceedings of 31st International Conference on Computers in Education (ICCE 2023). Asia-Pacific Society for Computers in Education (APSCE), 2023.12
Izumi Horikoshi, Yuko Toyokawa, Kohei Nakmura, Changhao Liang, Rwitajit Majumdar, Hiroaki Ogata.
Teaching Analytics with xAPI: Learning Activity Visualization with Cross-platform Data
Proceedings of 31st International Conference on Computers in Education (ICCE 2023).
Asia-Pacific Society for Computers in Education (APSCE), 2023.12
Koki Okumura, Izumi Horikoshi, Kento Koike and Hiroaki Ogata.
Towards Automated Evidence Extraction: A Case of Adapting SAM to Real-World Educational Data
Proceedings of 31st International Conference on Computers in Education (ICCE 2023). Asia-Pacific Society for Computers in Education (APSCE), pp. 463-471, 2023.12
Yuko Toyokawa, Izumi Horikoshi, Rwitajit Majumdar, Hiroaki Ogata.
Challenges and opportunities of AI in inclusive education: a case study of data-enhanced active reading in Japan
Smart Learning Environments, Vol. 10, 2023.12.18
10.1186/s40561-023-00286-2
Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata.
Personality-Based Tailored Explainable Recommendation for Trustworthy Smart Learning System in the Age of Artificial Intelligence
Smart Learning Environment, 2023.12.11
10.1186/s40561-023-00282-6
Hiramatsu Isao, Kousuke Mouri, Kay Penny, Bipin Indurkhya, and Keiichi Kaneko.
An IT-Based Self-Checking System of Spreadsheet Exercises for Learners with Visual Impairments.
Disability and Rehabilitation: Assistive Technology, pp.1-13, Nov.2023
10.1080/17483107.2023.2287155.
Masahiro Sakamoto, Yukihiro Matsubara, Kousuke Mouri.
Learning Analysis infrastructure to support optimal learning based on IRT and Video Enrollment Data
Proceedings of the 31st International Conference on Computers in Education. Asia-Pacific Society for Computers in Education, pp.232-239, 2023.11.29
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Taisei Yamauchi, Kyosuke Takami, Hiroaki Ogata.
Enhancing Self-Explanation Learning through a Real-Time Feedback System: An Empirical Evaluation Study
Sustainability, Vol.15, 2023.11.2
10.3390/su152115577
Changhao Liang, Izumi Horikoshi, Rwitajit Majumdar, Brendan Flanagan, Hiroaki Ogata.
Towards Predictable Process and Consequence Attributes of Data-Driven Group Work: Primary Analysis for Assisting Teachers with Automatic Group Formation
Educational Technology & Society, Vol.26, Issue 4, 2023.10
10.30191/ETS.202310_26(4).0006
Ryosuke Nakamoto, Brendan Flanagan, Taisei Yamauchi, Yiling Dai, Kyosuke Takami, Hiroaki Ogata.
Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach
Computers, Vol.12, 2023.10.24
10.3390/computers12110217
Taisei Yamauchi, Brendan Flanagan, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Hiroaki Ogata.
Automated labeling of PDF mathematical exercises with word N-grams VSM classification
Smart Learning Environments, Vol.10, 2023.10.18
10.1186/s40561-023-00271-9
Anna Y, Q. Huang, Jei Wei Chang, Albert C. M. Yang, Hiroaki Ogata, Shun Ting Li, Ruo Xuan Yen, Stephen J, H. Yang.
Personalized intervention based on the early prediction of at-risk students to improve their learning performance
Educational Technology & Society, Vol. 23, 2023.10.1
https://www.jstor.org/stable/48747521