Follow
Kyosuke Takami
Kyosuke Takami
National Institute for Educational Policy Research
Verified email at nier.go.jp - Homepage
Title
Cited by
Cited by
Year
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
212022
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
122019
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
102021
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
82022
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
72021
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
72021
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
52024
Dissociable behavioral and neural correlates for target-changing and conforming behaviors in interpersonal aggression
K Takami, M Haruno
eNeuro 7 (3), 2020
32020
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
22024
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
22024
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
22023
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
22023
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
22022
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
22022
Preliminary Personal Trait Prediction from High School Summer Vacation e-learning Behavior
K Takami, B Flanagan, R Majumdar, H Ogata
Proceedings of the 4th Workshop on Predicting Performance Based on the …, 2022
22022
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
12023
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
12023
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
12023
Investigation on practical effects of the explanation in a K-12 math recommender system
Y DAIa, K TAKAMI, B FLANAGAN, H OGATA
Proceedings of the 30th International Conference on Computers in Education, 7-12, 2022
12022
Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender
K Takami, B Flanagan, Y Dai, H Ogata
International Journal of Distance Education Technologies (IJDET) 22 (1), 1-23, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20