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Examining the effect of a genetic algorithm-enabled grouping method on collaborative performances, processes, and perceptions
Group formation is a critical factor which influences collaborative processes and performances in computer-supported collaborative learning (CSCL). Automatic grouping has been widely used to generate groups with heterogeneous attributes and to maximize the diversity of students’ characteristics with...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151354/ https://www.ncbi.nlm.nih.gov/pubmed/35668836 http://dx.doi.org/10.1007/s12528-022-09321-6 |