Algorithmic group formation and group work evaluation in a learning analytics-enhanced environment: implementation study in a Japanese junior high school
Author:
Affiliation:
1. Graduate School of Informatics, Kyoto University, Kyoto, Japan
2. Academic Center for Media and Computing Studies, Kyoto University, Kyoto, Japan
Funder
JSPS KAKENHI
NEDO
Japan Science and Technology Agency
Publisher
Informa UK Limited
Subject
Computer Science Applications,Education
Link
https://www.tandfonline.com/doi/pdf/10.1080/10494820.2022.2121730
Reference77 articles.
1. Abou-Khalil, V. & Ogata, H. (2021). Homogeneous student engagement: A strategy for group formation during online learning. In International Conference on Collaboration Technologies and Social Computing (pp. 85–92). Springer.
2. Alvarez, C., Zurita, G., Carvallo, A., Ramírez, P., Bravo, E. & Baloian, N. (2021). Automatic content analysis of student moral discourse in a collaborative learning activity. In International Conference on Collaboration Technologies and Social Computing (pp. 3–19). Springer.
3. Children’s Perspectives Toward Ability-Based Group Work in a Primary Classroom
4. Accuracy of self-evaluation in a peer-learning environment: an analysis of a group learning model
5. Combining individual and group-level perspectives for studying collaborative knowledge construction in context
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