Collaborative and interpersonal skills are vital in modern society and hence group learning receives increasing attention in various pedagogical contexts. Considering group learning in the digital environment, learning logs created there provide immense opportunities to apply Learning Analytics (LA) approaches and support such educational activities. We put forward the Group Learning Orchestration Based on Evidence (GLOBE) framework for such a data-rich environment and focus on using data and developing algorithms for four stages of group learning: formation, orchestration, evaluation, and reflection. A genetic algorithm-based group formation function and a peer evaluation module are introduced as implementations of GLOBE. We conducted empirical studies at school and university classes and report some of our current findings regarding the impact of the use of the system.
| 氏名 | 専攻 | 研究室 | 役職/学年 |
|---|---|---|---|
| LIANG CHANGHAO | 社会情報学専攻 | Ogata Lab | 博士2回生 |
| Rwitajit MAJUMDAR | 学術情報メディアセンター | Ogata Lab | 特定講師 |
| Hiroaki Ogata | 学術情報メディアセンター | Ogata Lab | 教授 |