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Izumi Horikoshi
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2020 – today
- 2024
- [j8]Changhao Liang
, Rwitajit Majumdar, Izumi Horikoshi
, Hiroaki Ogata
:
Data-Driven Support Infrastructure for Iterative Team-Based Learning. IEEE Access 12: 65967-65980 (2024) - [j7]Hiroyuki Kuromiya, Rwitajit Majumdar, Izumi Horikoshi, Hiroaki Ogata:
Learning analytics for student homework activities during a long break: Evidence from K-12 education in Japan. Res. Pract. Technol. Enhanc. Learn. 19: 34 (2024) - [j6]Changhao Liang, Izumi Horikoshi, Rwitajit Majumdar, Hiroaki Ogata:
Rater behaviors in peer evaluation: Patterns and early detection with learner model. Res. Pract. Technol. Enhanc. Learn. 20: 12 (2024) - [j5]Kohei Nakamura, Izumi Horikoshi, Rwitajit Majumdar, Hiroaki Ogata:
Extract instructional process from xAPI log data: a case study in Japanese junior high school. Res. Pract. Technol. Enhanc. Learn. 20: 13 (2024) - [j4]Chia-Yu Hsu, Izumi Horikoshi, Huiyong Li, Rwitajit Majumdar, Hiroaki Ogata:
Designing data-informed support for building learning habits in the Japanese K12 context. Res. Pract. Technol. Enhanc. Learn. 20: 14 (2024) - [j3]Kohei Nakamura
, Manabu Ishihara, Izumi Horikoshi, Hiroaki Ogata:
Uncovering insights from big data: change point detection of classroom engagement. Smart Learn. Environ. 11(1): 31 (2024) - [c2]Changhao Liang, Izumi Horikoshi, Hiroaki Ogata:
Enabling Mixed Genetic Algorithm for Automatic Group Formation System. CollabTech 2024: 220-228 - 2023
- [j2]Chia-Yu Hsu
, Izumi Horikoshi
, Huiyong Li
, Rwitajit Majumdar
, Hiroaki Ogata:
Supporting "time awareness" in self-regulated learning: How do students allocate time during exam preparation? Smart Learn. Environ. 10(1): 21 (2023) - [j1]Yuko Toyokawa
, Izumi Horikoshi, Rwitajit Majumdar, Hiroaki Ogata:
Challenges and opportunities of AI in inclusive education: a case study of data-enhanced active reading in Japan. Smart Learn. Environ. 10(1): 67 (2023) - 2022
- [c1]Changhao Liang
, Thomas Gorham, Izumi Horikoshi
, Rwitajit Majumdar
, Hiroaki Ogata
:
Estimating Peer Evaluation Potential by Utilizing Learner Model During Group Work. CollabTech 2022: 287-294
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last updated on 2024-08-29 21:55 CEST by the dblp team
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