The methodology replicates on a second cohort of 46 learners, with only 1 of 8 low performers in the distributed-learning cluster¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? In a second cohort of 46 learners, of the 8 low-performance learners 4/8 were in the massed-learning cluster, 2/8 sporadic outliers, 1/8 in the low-engagement cluster, and only 1/8 in the distributed-learning cluster. → Peach 2019

Evidence¶

Peach 2019¶

Peach, R. L., Yaliraki, S. N., Lefevre, D. and Barahona, M. (2019). Data-driven unsupervised clustering of online learner behaviour. npj Science of Learning 4:14. https://doi.org/10.1038/s41539-019-0054-0

q2 · i? · associational · r1

Application of the same pipeline to task-completion data from a second cohort of 46 learners taking the same online management degree. "of the 8 low-performance learners, 4/8 were located in the massed learning cluster", with cluster behaviours similar to the first cohort.

"Within this 6-cluster partition, we found that of the 8 low-performance learners, 4/8 were located in the massed learning cluster, 2/8 were sporadic outliers, and 1/8 was in the low engagement cluster."

Discussion¶

Related Claims¶

• Low-performing learners concentrate in the massed-learning ('Crammers') cluster, with 6 of 7 low performers in that cluster in the main cohort — related
• On the OULAD page-click dataset, 6 of 7 low performers fall in the massed-learning cluster, whose grade is significantly lower than the distributed cluster (paired t-test at 5%) — related
• Cluster task-completion metrics order from Crammers (66%) through Low Engagers (80%) to On time (86%) and Early Birds (90%), with Crammers showing the longest massed sessions — related