Abstract | ||
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There is an underexploited potential in enhancing massive online learning courses through small-group learning activities. Size and diversity allow for optimizing group composition in small-group tasks. The purpose of this paper was to investigate how groups formed based on learner behavior affect productivity of students in a small-group task. Students classified as high, average and low were randomly assigned to homogeneous or heterogeneous groups. Results indicate that overall, heterogeneous groups were either similarly or a bit more productive than homogeneous groups. Yet, we found that homogeneous groups classified as high-level were as or more than heterogeneous groups. However, heterogeneous groups were still more productive than homogeneous-average and homogeneous-low groups suggesting heterogeneous groups are the best choice for the entire community. Students classified as low-level were more productive in homogeneous groups, suggesting that grouping less active students together, makes social loafing more difficult and students participate more. |
Year | DOI | Venue |
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2016 | 10.1145/2957792.2965662 | OpenSym |
Keywords | DocType | Citations |
Computer-supported collaborative learning, small-group learning, group formation, MOOCs | Conference | 2 |
PageRank | References | Authors |
0.50 | 2 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Astrid Wichmann | 1 | 2 | 0.50 |
Tobias Hecking | 2 | 45 | 14.57 |
Malte Elson | 3 | 6 | 3.07 |
Nina Christmann | 4 | 2 | 0.50 |
Thomas Herrmann | 5 | 493 | 82.87 |
Heinz Ulrich Hoppe | 6 | 750 | 174.04 |