Groups' progress during collaboration falls into four data-driven categories differing in sequence frequencies and the regulation phases groups return to¶

Claim · All claims
Evidence · 1 study (2 entries) · qualitative r2–r3 · q2
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Visual inspection of per-group sequence charts yielded four categories of group progress, differing in sequence frequencies and phase distribution, including a category with the least on-track behavior (50.74%) and highest adaptive regulation frequency (44.85%). → Sobocinski 2020

Evidence¶

Sobocinski 2020¶

Sobocinski, M., Järvelä, S., Malmberg, J., Dindar, M., Isosalo, A., & Noponen, K. (2020). How does monitoring set the stage for adaptive regulation or maladaptive behavior in collaborative learning? Metacognition and Learning. https://doi.org/10.1007/s11409-020-09224-w

q2 · i? · qualitative · r3

Data-driven categorization of nine groups' sequence charts from the collaborative exam produced four categories: smooth sailing, what is our task again, so how should we proceed, and what are we doing, each illustrated with a case example.

"Next, the charts were visually inspected, and then categorized into four categories based on the type of sequences that appeared, as well as the phase of regulated learning in which these sequences occurred."

Sobocinski 2020 (2)¶

Sobocinski, M., Järvelä, S., Malmberg, J., Dindar, M., Isosalo, A., & Noponen, K. (2020). How does monitoring set the stage for adaptive regulation or maladaptive behavior in collaborative learning? Metacognition and Learning. https://doi.org/10.1007/s11409-020-09224-w

q2 · i? · qualitative · r2

Category 4 groups stayed mostly in the task enactment phase; the study reports "the highest frequency of adaptive regulation (44.85%)" and the least on-track behavior among the four categories.

"These groups had the least amount of on-track behavior (50.74% of all identified sequences), and the highest frequency of adaptive regulation (44.85%)."

Discussion¶

Related Claims¶

• Temporal process analysis reveals group- and task-related differences that the frequency accounts did not show, in the interchange of CPS elements over time — related
• Most groups maintain stable deliberation patterns across triggering events and fail to adapt to emerging regulatory needs — related
• Novices showed marginally higher complexity of SRL phase sequences than experts (frequent but predictable transitions), with no group differences in entropy or transition number — related
• Most PBL groups settled into stable regulatory patterns early in the course, with transitions usually between similar patterns — related
• Optimal clustering of five-channel CPS sequences detected three types of collaborative patterns among graduate student groups — related
• Progress in evidence-based solution development is not always linear; evidence determines phase movement — related
• Trace data can capture the temporal progress of regulation as learners engage in learning tasks over time — related