Flanagan Brendan

Affiliation and department：
Job title： Program-Specific Associate Professor
Homepage URL (1)： https://flanaganacademic.wordpress.com

Research field (4)： Intelligent informatics , Educational technology , Information theory , Learning support systems

Research keywords (6)： Educational Data Mining , Data Science , Text Mining , Language Learning , Machine Learning , Learning Analytics

Research theme for competitive and other funds (8)：

2023 - 2028 Building a platform that realizes learning and working styles in the post-COVID era
2024 - 2026 Extraction and Use of Highly Explainable and Transferable Indicators for AI in Education
2023 - 2026 Extraction and Use of Highly Explainable and Transferable Indicators for AI in Education
2020 - 2025 Research and development of an education and learning support environment EXAIT by co-evolution of learner’s self-explanation and AI explanation generation
2022 - 2025 GOAL project: AI-supported self-directed learning lifestyle in data-rich educational ecosystem

Show all

Papers (152)：

Kensuke Takii, Brendan Flanagan, Huiyong Li, Yuanyuan Yang, Kento Koike, Hiroaki Ogata. Explainable eBook recommendation for extensive reading in K-12 EFL learning. Research and Practice in Technology Enhanced Learning. 2024. 20. 027-027
Hiroaki Ogata, Changhao Liang, Yuko Toyokawa, Chia-Yu Hsu, Kohei Nakamura, Taisei Yamauchi, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Izumi Horikoshi, et al. Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context. Technology, Knowledge and Learning. 2024
Yuanyuan Yang, Rwitajit Majumdar, Huiyong Li, Brendan Flanagan, Hiroaki Ogata. Design of a learning dashboard to enhance reading outcomes and self-directed learning behaviors in out-of-class extensive reading. Interactive Learning Environments. 2024
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. 2024. 22. 1. 1-23
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Taisei Yamauchi, Kyosuke Takami, Hiroaki Ogata. Integrating self-explanation and operational data for impasse detection in mathematical learning. Res. Pract. Technol. Enhanc. Learn. 2024. 20. 19-19

ｍore...

MISC (14)：

ｍore...

Education (3)：

2014 - 2017 Kyushu University Graduate School of Information Science and Electrical Engineering PhD
2013 - 2014 Kyushu University Graduate School of Information Science and Electrical Engineering Master's Course
2007 - 2010 RMIT School of Computer Science and Information Technology

Professional career (1)：

Work history (6)：

2022/10 - 現在 Kyoto University Graduate School of Informatics Program Specific Associate Professor
2022/10 - 現在 Kyoto University Center for Innovative Research and Education in Data Science Institute for Liberal Arts and Sciences Program Specific Associate Professor
2018/10 - 2022/09 Kyoto University Academic Center for Computing and Media Studies Program-Specific Senior Lecturer
2018/04 - 2022/09 Kyoto University Department of Social informatics, Graduate School of Informatics, Senior Lecturer
2017/04 - 2018/03 Kyoto University Academic Center for Computing and Media Studies Program-Specific Researcher

Show all

Committee career (15)：

2017 - 現在 ICCE PC Member
2017 - 現在 IIAI AAI PC member
2021 - 2021 IEEE ICALT PC Member
2021 - 2021 ICCE Classroom, Ubiquitous, and Mobile Technologies Enhanced Learning Track co-chair
2020 - 2021 IEEE TALE PC Member

Show all

Awards (4)：

Association Membership(s) (7)：

ACM , 日本データベース学会 , 情報処理学会 , 人工知能学会 , Society for Learning Analytics Research , IEEE , Asian Pacific Society for Computers in Education

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page