In the collaborative MIT App Inventor study, significant interaction patterns signified coordination of behavior between team participants, and no lower self-efficacy emerged for non-CS-background participants¶

Claim · All claims
Evidence · 1 study · theoretical r2 · q2
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? The editors report that significant interaction patterns signified coordination of behavior between participants on teams, suggesting the environment promotes collaboration, and that the expected lower self-efficacy among non-CS-background participants did not emerge. → Carolyn Rosé 2021

Evidence¶

Carolyn Rosé 2021¶

Carolyn Rosé, Sanna Järvelä. (2021). A theory-driven reflection on context-aware support for collaborative discussions in light of analytics, affordances, and platforms. International Journal of Computer-Supported Collaborative Learning. https://doi.org/10.1007/s11412-021-09360-8

q2 · i? · theoretical · r2

Editorial account of the Hsu et al. study of a collaborative version of MIT App Inventor: "Significant interactions patterns were found signi - fying coordination of behavior between participants on teams"; on self-efficacy, "the evidence of this did not emerge" for lower non-CS self-efficacy.

"Significant interactions patterns were found signi - fying coordination of behavior between participants on teams, suggesting that the environ - ment does promote collaboration."

Discussion¶

Related Claims¶

• Tabletop learning-analytics correlations with collaboration were not statistically significant but suggest post hoc identification of less collaborative teams — related
• Homogeneous CS-major groups reported higher CPSE in collaborative programming than homogeneous non-CS and heterogeneous groups, with no significant difference between the latter two — reports the opposite
• Overall CPSE did not differ significantly between individual programming and RTC-based collaborative programming — related
• Different group compositions adopted different collaboration strategies: homogeneous groups split interface and programming work, while the heterogeneous CS/non-CS pair showed the most divergent behavior patterns — related