Latent profile analysis of 2015 PISA data identifies four collaborative problem-solver profiles among Chinese 15-year-old students¶

Claim · All claims
Evidence · 1 study · theoretical r2 · q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Process indicators (time-on-task, actions-on-task, and three CPS process skills) yield four profiles — Disengaged, Struggling, Adaptive, and Excellent — which relate to demographics, motivation, and CPS performance. → Sanna Järvelä 2023

Evidence¶

Sanna Järvelä 2023¶

Sanna Järvelä, Carolyn P. Rosé. (2023). Reflecting on what counts as collaboration: Reaching forward without losing what is behind. International Journal of Computer-Supported Collaborative Learning, 18, 457–464. https://doi.org/10.1007/s11412-023-09415-y

q2 · i? · theoretical · r2

The editorial reports, citing Ma, Zhang, Ni and Zhou, a latent profile analysis on a data set (N = 1,677) from the 2015 PISA Assessment. The profiles were based on "time-on-task, actions-on-task, and three specific CPS process skills" for students on a CPS task.

"The results of latent profile analysis indicate four collaborative problem-solver profiles: Disengaged, Struggling, Adaptive, and Excellent."

Discussion¶

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