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2020 – today
- 2025
[j12]Ryosuke Nakamoto
, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata:
Examining motivational factors influencing self-explanation quality and mathematics achievement in online learning for junior high students. Interact. Learn. Environ. 33(10): 5706-5725 (2025)- [c17]Kyosuke Takami, Satoshi Sekine, Yusuke Miyao:
Evaluating Local LLMs on Japanese National University Entrance Examination Dataset in Comparison with Student Performance. EDM 2025 - 2024
- [j11]Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata:
Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender. Int. J. Distance Educ. Technol. 22: 1-23 (2024) - [j10]Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata:
Unsupervised techniques for generating a standard sample self-explanation answer with knowledge components in a math quiz. Res. Pract. Technol. Enhanc. Learn. 19: 16 (2024) - [j9]Hiroaki Ogata, Brendan Flanagan, Kyosuke Takami, Yiling Dai, Ryosuke Nakamoto, Kensuke Takii:
EXAIT: Educational eXplainable Artificial Intelligent Tools for personalized learning. Res. Pract. Technol. Enhanc. Learn. 19: 19 (2024) - [j8]Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata:
Beyond recommendation acceptance: explanation's learning effects in a math recommender system. Res. Pract. Technol. Enhanc. Learn. 19: 20 (2024) - [j7]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. 20: 19 (2024) - [j6]Yiling Dai, Heinz Ulrich Hoppe, Brendan Flanagan, Kyosuke Takami, Hiroaki Ogata:
Do personal recommendations need to be personalized? Investigating the relationships between student differences and educational recommendations. Smart Learn. Environ. 11(1): 61 (2024) - [j5]Hiroaki Ogata, Changhao Liang, Yuko Toyokawa, Chia-Yu Hsu, Kohei Nakamura, Taisei Yamauchi, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Izumi Horikoshi, Rwitajit Majumdar:
Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context. Technol. Knowl. Learn. 29(4): 1711-1732 (2024) - [j4]Ola Erstad, Miroslava Cernochová, Gerald Knezek, Takahisa Furuta, Kyosuke Takami, Changhao Liang:
Social and Emotional Modes of Learning Within Digital Ecosystems: Emerging Research Agendas. Technol. Knowl. Learn. 29(4): 1751-1766 (2024) - [c16]Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata:
An Automated Impasse Detection System Based on the Analysis of Self-Explanations in Mathematics. ICALT 2024: 75-79 - [c15]Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata:
Auto-Scoring of Math Self-Explanations by Combining Visual and Language Analysis. ICALT 2024: 164-168 - [c14]Kyosuke Takami:
Utilization of Japanese Public Educational Data by Retrieval Augmented Generation for Policy Research. ICCE 2024 - [i1]Akiko Aizawa, Eiji Aramaki, Bowen Chen, Fei Cheng, Hiroyuki Deguchi, Rintaro Enomoto, Kazuki Fujii, Kensuke Fukumoto, Takuya Fukushima, Namgi Han, Yuto Harada, Chikara Hashimoto, Tatsuya Hiraoka, Shohei Hisada, Sosuke Hosokawa, Lu Jie, Keisuke Kamata, Teruhito Kanazawa, Hiroki Kanezashi, Hiroshi Kataoka, Satoru Katsumata, Daisuke Kawahara, Seiya Kawano, Atsushi Keyaki, Keisuke Kiryu, Hirokazu Kiyomaru, Takashi Kodama, Takahiro Kubo, Yohei Kuga, Ryoma Kumon, Shuhei Kurita, Sadao Kurohashi, Conglong Li, Taiki Maekawa, Hiroshi Matsuda, Yusuke Miyao, Kentaro Mizuki, Sakae Mizuki, Yugo Murawaki, Ryo Nakamura, Taishi Nakamura, Kouta Nakayama, Tomoka Nakazato, Takuro Niitsuma, Jiro Nishitoba, Yusuke Oda, Hayato Ogawa, Takumi Okamoto, Naoaki Okazaki, Yohei Oseki, Shintaro Ozaki, Koki Ryu, Rafal Rzepka, Keisuke Sakaguchi, Shota Sasaki, Satoshi Sekine, Kohei Suda, Saku Sugawara, Issa Sugiura, Hiroaki Sugiyama, Hisami Suzuki, Jun Suzuki, Toyotaro Suzumura, Kensuke Tachibana, Yu Takagi, Kyosuke Takami, Koichi Takeda, Masashi Takeshita, Masahiro Tanaka, Kenjiro Taura, Arseny Tolmachev, Nobuhiro Ueda, Zhen Wan, Shuntaro Yada, Sakiko Yahata, Yuya Yamamoto, Yusuke Yamauchi, Hitomi Yanaka, Rio Yokota, Koichiro Yoshino:
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. CoRR abs/2407.03963 (2024) - 2023
- [j3]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. Comput. 12(11): 217 (2023) - [j2]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 Learn. Environ. 10(1): 51 (2023) - [j1]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 Learn. Environ. 10(1): 65 (2023) - [c13]Rwitajit Majumdar, Kyosuke Takami, Hiroaki Ogata:
Learning with Explainable AI-Recommendations at School: Extracting Patterns of Self-Directed Learning from Learning Logs. ICALT 2023: 245-249 - [c12]Taisei Yamauchi, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata:
Improved Automated Labeling of Mathematical Exercises in Japanese. ICCE 2023 - [c11]Taisei Yamauchi, Yuta Nakamizo, Kyosuke Takami, Rwitajit Majumdar, Hiroaki Ogata:
Matching Intervention Messages Considering Complex Personality Types of High School Students. ICCE 2023 - 2022
- [c10]Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata:
An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz. AIED (2) 2022: 254-258 - [c9]Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata:
Investigation on Practical Effects of the Explanation in a K-12 Math Recommender System. ICCE 2022 - [c8]Kyosuke Takami, Gou Miyabe, Brendan Flanagan, Hiroaki Ogata:
Automated Test Set Quiz Maker Optimizing Solving Time and Parameters of Bayesian Knowledge Tracing Model Extracted from Learning Log. ICCE 2022 - [c7]Taisei Yamauchi, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata:
Nudge Messages for E-Learning Engagement and Student's Personality Traits: Effects and Implication for Personalization. ICCE 2022 - [c6]Kyosuke Takami, Brendan Flanagan, Rwitajit Majumdar, Hiroaki Ogata:
Preliminary Personal Trait Prediction from High School Summer Vacation e-learning Behavior. LAK (Data Challenge) 2022: 21-29 - [c5]Yiling Dai, Brendan Flanagan, Kyosuke Takami, Hiroaki Ogata:
Design of a User-Interpretable Math Quiz Recommender System for Japanese High School Students. LAK (Data Challenge) 2022: 30-38 - [c4]Kyosuke Takami, Yiling Dai, Brendan Flanagan, Hiroaki Ogata:
Educational Explainable Recommender Usage and its Effectiveness in High School Summer Vacation Assignment. LAK 2022: 458-464 - 2021
- [c3]Brendan Flanagan, Kyosuke Takami, Kensuke Takii, Yiling Dai, Rwitajit Majumdar:
EXAIT: A Symbiotic Explanation Learning System. ICCE 2021 - [c2]Ryousuke Namamoto, Brendan Flanagan, Kyosuke Takami:
Identifying Students' Stuck Points Using Self-Explanations and Pen Stroke Data in a Mathematics Quiz. ICCE 2021 - [c1]Kyosuke Takami, Brendan Flanagan, Yiling Dai:
Toward Educational Explainable Recommender System: Explanation Generation based on Bayesian Knowledge Tracing Parameters. ICCE 2021
Coauthor Index
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