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ORCIDKyosuke Takami
- > Home > Persons > Kyosuke Takami
Publications
- 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)- [c18]Kyosuke Takami, Ryosuke Nakamoto, Yiling Dai, Brendan Flanagan, Hiroaki Ogata:
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) 2025: 119-128 - 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) - [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 - 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) - [c12]Taisei Yamauchi, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata:
Improved Automated Labeling of Mathematical Exercises in Japanese. 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 - [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 - [c1]Kyosuke Takami, Brendan Flanagan, Yiling Dai:
Toward Educational Explainable Recommender System: Explanation Generation based on Bayesian Knowledge Tracing Parameters. ICCE 2021
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