Sequence-alignment clusters of small-group action logs differ in productivity and balance of contribution, with the largest cluster showing the lowest word count and highest imbalance¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? In Study 1 (65 groups), the largest cluster (29 groups) had the lowest word count and highest Gini imbalance, and differed significantly in Gini values from the other two clusters, which did not differ from each other. → H. Ulrich Hoppe 2021

Evidence¶

H. Ulrich Hoppe 2021¶

H. Ulrich Hoppe, et al. (2021). Using Sequence Analysis to Determine the Well-Functioning of Small Groups in Large Online Courses. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-020-00229-9

q2 · i? · associational · r1

Observational sequence analysis of 65 groups in an online CmC course, clustered via PAM after sequence alignment (k = 3; clusters of 19, 17, 29). The article reports "the lowest word count and the highest imbalance of contributions" for cluster 3, with pairwise t-tests on Gini values as quoted; no effect sizes are printed.

"The biggest cluster 3 (29 groups) has the lowest word count and the highest imbalance of contributions. Pairwise t-tests between the three clusters regarding the Gini values revealed a significant difference between cluster 3 and the other two clusters, but no significant difference between clusters 1 and 2."

Discussion¶

Related Claims¶

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