Enhancing Self-Explanation Learning through a Real-Time Feedback System: An Empirical Evaluation Study
Ryosuke Nakamoto(Kyoto University), Hiroaki Ogata(Kyushu University), Brendan Flanagan(Kyoto University), Yiling Dai(Kyoto University), Taisei Yamauchi(Hirosaki University), Kyosuke Takami(Kyoto University)
Cited by 10
Related Papers
Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach
|Computers|2023|9
Epidemiology of Dupuytren’s Disease in Japanese General Population
|The Journal of Hand Surgery (Asian-Pacific Volume)|2021|8
Enhancing Automated Scoring of Math Self-Explanation Quality using LLM-Generated Datasets: A Semi-Supervised Approach
|Preprints.org|2023|6
Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context
|Technology Knowledge and Learning|2024|5
Automated labeling of PDF mathematical exercises with word N-grams VSM classification
|Smart Learning Environments|2023|4