Kyosuke Takami

32 papers A 1B 4C 9Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Which Feedback Works for Whom? Differential Effects of LLM-Generated Feedback Elements Across Learner Profiles.
CoRR
Momoka Furuhashi, Kouta Nakayama, Noboru Kawai, Takashi Kodama, Saku Sugawara, Kyosuke Takami
2025 B conf
Evaluating Local LLMs on Japanese National University Entrance Examination Dataset in Comparison with Student Performance.
EDM
Kyosuke Takami, Satoshi Sekine, Yusuke Miyao
2025 J jnl
Examining motivational factors influencing self-explanation quality and mathematics achievement in online learning for junior high students.
Interact. Learn. Environ.
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2025 — conf
Pilot Study of Self-explanation Based Automate Stuck Point Detection and Personalized Feed-Back Recommendation by Educational eXplainable AI Tool in Middle School Math Classes.
AIED Companion (1)
Kyosuke Takami, Ryosuke Nakamoto, Yiling Dai, Brendan Flanagan, Hiroaki Ogata
2024 B conf
An Automated Impasse Detection System Based on the Analysis of Self-Explanations in Mathematics.
ICALT
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2024 B conf
Auto-Scoring of Math Self-Explanations by Combining Visual and Language Analysis.
ICALT
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2024 J jnl
Beyond recommendation acceptance: explanation's learning effects in a math recommender system.
Res. Pract. Technol. Enhanc. Learn.
Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata
2024 J jnl
Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context.
Technol. Knowl. Learn.
Hiroaki Ogata, Changhao Liang, Yuko Toyokawa, Chia-Yu Hsu, Kohei Nakamura, Taisei Yamauchi, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Izumi Horikoshi, Rwitajit Majumdar
2024 J jnl
Do personal recommendations need to be personalized? Investigating the relationships between student differences and educational recommendations.
Smart Learn. Environ.
Yiling Dai, Heinz Ulrich Hoppe, Brendan Flanagan, Kyosuke Takami, Hiroaki Ogata
2024 J jnl
EXAIT: Educational eXplainable Artificial Intelligent Tools for personalized learning.
Res. Pract. Technol. Enhanc. Learn.
Hiroaki Ogata, Brendan Flanagan, Kyosuke Takami, Yiling Dai, Ryosuke Nakamoto, Kensuke Takii
2024 J jnl
Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender.
Int. J. Distance Educ. Technol.
Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata
2024 J jnl
Integrating self-explanation and operational data for impasse detection in mathematical learning.
Res. Pract. Technol. Enhanc. Learn.
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Taisei Yamauchi, Kyosuke Takami, Hiroaki Ogata
2024 J jnl
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs.
CoRR
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
2024 J jnl
Social and Emotional Modes of Learning Within Digital Ecosystems: Emerging Research Agendas.
Technol. Knowl. Learn.
Ola Erstad, Miroslava Cernochová, Gerald Knezek, Takahisa Furuta, Kyosuke Takami, Changhao Liang
2024 J jnl
Unsupervised techniques for generating a standard sample self-explanation answer with knowledge components in a math quiz.
Res. Pract. Technol. Enhanc. Learn.
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2024 C conf
Utilization of Japanese Public Educational Data by Retrieval Augmented Generation for Policy Research.
ICCE
Kyosuke Takami
2023 J jnl
Automated labeling of PDF mathematical exercises with word N-grams VSM classification.
Smart Learn. Environ.
Taisei Yamauchi, Brendan Flanagan, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2023 J jnl
Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach.
Comput.
Ryosuke Nakamoto, Brendan Flanagan, Taisei Yamauchi, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2023 C conf
Improved Automated Labeling of Mathematical Exercises in Japanese.
ICCE
Taisei Yamauchi, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata
2023 B conf
Learning with Explainable AI-Recommendations at School: Extracting Patterns of Self-Directed Learning from Learning Logs.
ICALT
Rwitajit Majumdar, Kyosuke Takami, Hiroaki Ogata
2023 C conf
Matching Intervention Messages Considering Complex Personality Types of High School Students.
ICCE
Taisei Yamauchi, Yuta Nakamizo, Kyosuke Takami, Rwitajit Majumdar, Hiroaki Ogata
2023 J jnl
Personality-based tailored explainable recommendation for trustworthy smart learning system in the age of artificial intelligence.
Smart Learn. Environ.
Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata
2022 — conf
An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz.
AIED (2)
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2022 C conf
Automated Test Set Quiz Maker Optimizing Solving Time and Parameters of Bayesian Knowledge Tracing Model Extracted from Learning Log.
ICCE
Kyosuke Takami, Gou Miyabe, Brendan Flanagan, Hiroaki Ogata
2022 — conf
Design of a User-Interpretable Math Quiz Recommender System for Japanese High School Students.
LAK (Data Challenge)
Yiling Dai, Brendan Flanagan, Kyosuke Takami, Hiroaki Ogata
2022 A conf
Educational Explainable Recommender Usage and its Effectiveness in High School Summer Vacation Assignment.
LAK
Kyosuke Takami, Yiling Dai, Brendan Flanagan, Hiroaki Ogata
2022 C conf
Investigation on Practical Effects of the Explanation in a K-12 Math Recommender System.
ICCE
Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata
2022 C conf
Nudge Messages for E-Learning Engagement and Student's Personality Traits: Effects and Implication for Personalization.
ICCE
Taisei Yamauchi, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata
2022 — conf
Preliminary Personal Trait Prediction from High School Summer Vacation e-learning Behavior.
LAK (Data Challenge)
Kyosuke Takami, Brendan Flanagan, Rwitajit Majumdar, Hiroaki Ogata
2021 C conf
EXAIT: A Symbiotic Explanation Learning System.
ICCE
Brendan Flanagan, Kyosuke Takami, Kensuke Takii, Yiling Dai, Rwitajit Majumdar
2021 C conf
Identifying Students' Stuck Points Using Self-Explanations and Pen Stroke Data in a Mathematics Quiz.
ICCE
Ryousuke Namamoto, Brendan Flanagan, Kyosuke Takami
2021 C conf
Toward Educational Explainable Recommender System: Explanation Generation based on Bayesian Knowledge Tracing Parameters.
ICCE
Kyosuke Takami, Brendan Flanagan, Yiling Dai