Kyosuke Takami

According to our database, Kyosuke Takami authored at least 19 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context.

Hiroaki Ogata, Changhao Liang, Yuko Toyokawa, Chia-Yu Hsu, Kohei Nakamura, Taisei Yamauchi, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Izumi Horikoshi, Rwitajit Majumdar

Technol. Knowl. Learn., December, 2024

Social and Emotional Modes of Learning Within Digital Ecosystems: Emerging Research Agendas.

Ola Erstad, Miroslava Cernochová, Gerald Knezek, Takahisa Furuta, Kyosuke Takami, Changhao Liang

Technol. Knowl. Learn., December, 2024

Do personal recommendations need to be personalized? Investigating the relationships between student differences and educational recommendations.

Yiling Dai, Heinz Ulrich Hoppe, Brendan Flanagan, Kyosuke Takami, Hiroaki Ogata

Smart Learn. Environ., December, 2024

Beyond recommendation acceptance: explanation's learning effects in a math recommender system.

Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata

Res. Pract. Technol. Enhanc. Learn., September, 2024

EXAIT: Educational eXplainable Artificial Intelligent Tools for personalized learning.

Hiroaki Ogata, Brendan Flanagan, Kyosuke Takami, Yiling Dai, Ryosuke Nakamoto, Kensuke Takii

Res. Pract. Technol. Enhanc. Learn., 2024

Integrating self-explanation and operational data for impasse detection in mathematical learning.

Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Taisei Yamauchi, Kyosuke Takami, Hiroaki Ogata

Res. Pract. Technol. Enhanc. Learn., 2024

Unsupervised techniques for generating a standard sample self-explanation answer with knowledge components in a math quiz.

Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata

Res. Pract. Technol. Enhanc. Learn., 2024

Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender.

Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata

Int. J. Distance Educ. Technol., 2024

LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs.

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

CoRR, 2024

Auto-Scoring of Math Self-Explanations by Combining Visual and Language Analysis.

Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2024

An Automated Impasse Detection System Based on the Analysis of Self-Explanations in Mathematics.

Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2024

2023

Automated labeling of PDF mathematical exercises with word N-grams VSM classification.

Taisei Yamauchi, Brendan Flanagan, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Hiroaki Ogata

Smart Learn. Environ., December, 2023

Personality-based tailored explainable recommendation for trustworthy smart learning system in the age of artificial intelligence.

Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata

Smart Learn. Environ., December, 2023

Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach.

Ryosuke Nakamoto, Brendan Flanagan, Taisei Yamauchi, Yiling Dai, Kyosuke Takami, Hiroaki Ogata

Comput., October, 2023

Learning with Explainable AI-Recommendations at School: Extracting Patterns of Self-Directed Learning from Learning Logs.

Rwitajit Majumdar, Kyosuke Takami, Hiroaki Ogata

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023

2022

Preliminary Personal Trait Prediction from High School Summer Vacation e-learning Behavior.

Kyosuke Takami, Brendan Flanagan, Rwitajit Majumdar, Hiroaki Ogata

Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior, 2022

Educational Explainable Recommender Usage and its Effectiveness in High School Summer Vacation Assignment.

Kyosuke Takami, Yiling Dai, Brendan Flanagan, Hiroaki Ogata

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Design of a User-Interpretable Math Quiz Recommender System for Japanese High School Students.

Yiling Dai, Brendan Flanagan, Kyosuke Takami, Hiroaki Ogata

Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior, 2022

An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz.

Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022