| EXAIT: Educational eXplainable artificial intelligent tools for personalized learning H Ogata, B Flanagan, K Takami, Y Dai, R Nakamoto, K Takii Research and Practice in Technology Enhanced Learning 19, 2024 | 34 | 2024 |
| Educational explainable recommender usage and its effectiveness in high school summer vacation assignment K Takami, Y Dai, B Flanagan, H Ogata LAK22: 12th International Learning Analytics and Knowledge Conference, 458-464, 2022 | 29 | 2022 |
| EXAIT: A Symbiotic Explanation Learning System B FLANAGAN, K TAKAMI, K TAKII, Y DAIa, R MAJUMDAR, H OGATA 29th International Conference on Computers in Education Conference …, 2021 | 16 | 2021 |
| Behavioral and functional connectivity basis for peer-influenced bystander participation in bullying K Takami, M Haruno Social cognitive and affective neuroscience 14 (1), 23-33, 2019 | 16 | 2019 |
| Enhancing automated scoring of math self-explanation quality using llm-generated datasets: A semi-supervised approach R Nakamoto, B Flanagan, T Yamauchi, Y Dai, K Takami, H Ogata Computers 12 (11), 217, 2023 | 13 | 2023 |
| Identifying Students’ Stuck Points Using Self-Explanations and Pen Stroke Data in a Mathematics Quiz R NAMAMOTO, B FLANAGAN, K TAKAMI, Y DAIb, H OGATA 29th International Conference on Computers in Education Conference …, 2021 | 12 | 2021 |
| Toward Educational Explainable Recommender System: Explanation Generation based on Bayesian Knowledge Tracing Parameters K TAKAMI, B FLANAGAN, Y DAI, H OGATA 29th International Conference on Computers in Education Conference …, 2021 | 12 | 2021 |
| Design of a user-interpretable math quiz recommender system for Japanese high school students Y Dai, B Flanagan, K Takami, H Ogata Proceedings of the 4th workshop on predicting performance based on the …, 2022 | 10 | 2022 |
| Personality-based tailored explainable recommendation for trustworthy smart learning system in the age of artificial intelligence K Takami, B Flanagan, Y Dai, H Ogata Smart Learning Environments 10 (1), 65, 2023 | 8 | 2023 |
| Enhancing self-explanation learning through a real-time feedback system: An empirical evaluation study R Nakamoto, B Flanagan, Y Dai, T Yamauchi, K Takami, H Ogata Sustainability 15 (21), 15577, 2023 | 7 | 2023 |
| Unsupervised techniques for generating a standard sample self-explanation answer with knowledge components in a math quiz R Nakamoto, B Flanagan, Y Dai, K Takami, H Ogata Research and Practice in Technology Enhanced Learning 19, 2024 | 6 | 2024 |
| Learning with explainable ai-recommendations at school: Extracting patterns of self-directed learning from learning logs R Majumdar, K Takami, H Ogata 2023 IEEE International Conference on Advanced Learning Technologies (ICALT …, 2023 | 5 | 2023 |
| Nudge Messages for E-Learning Engagement and Student’s Personality Traits: Effects and Implication for Personalization T YAMAUCHI, K TAKAMI, B FLANAGAN, H OGATA 30th International Conference on Computers in Education Conference Proceedings, 2022 | 5 | 2022 |
| Llm-jp: A cross-organizational project for the research and development of fully open japanese llms A Aizawa, E Aramaki, B Chen, F Cheng, H Deguchi, R Enomoto, K Fujii, ... arXiv preprint arXiv:2407.03963, 2024 | 4 | 2024 |
| Beyond recommendation acceptance: Explanation’s learning effects in a math recommender system Y Dai, K Takami, B Flanagan, H Ogata Research and Practice in Technology Enhanced Learning 19, 2024 | 4 | 2024 |
| Toward Trustworthy Explainable Recommendation: Personality Based Tailored Explanation for Improving E-learning Engagements and Motivation to Learn K Takami, B Flanagan, Y Dai, H Ogata Companion Proceedings 13th International Conference on Learning Analytics …, 2023 | 4 | 2023 |
| Automated labeling of PDF mathematical exercises with word N-grams VSM classification T Yamauchi, B Flanagan, R Nakamoto, Y Dai, K Takami, H Ogata Smart Learning Environments 10 (1), 51, 2023 | 3 | 2023 |
| Functional magnetic resonance imaging (fMRI) of interpersonal aggression K Takami, M Haruno Martin, C.R., Preedy, V.R., Patel, V.B. (eds) Handbook of Anger, Aggression …, 2023 | 3 | 2023 |
| Investigation on practical effects of the explanation in a K-12 math recommender system DAI Yiling, K TAKAMI, B Flanagan, H Ogata International Conference on Computers in Education, 2022 | 3 | 2022 |
| An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz R Nakamoto, B Flanagan, Y Dai, K Takami, H Ogata International Conference on Artificial Intelligence in Education, 254-258, 2022 | 3 | 2022 |
Brendan FlanaganAssociate Professor at Kyoto University, JapanPreverjeni e-poštni naslov na kyoto-u.ac.jp
