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March 3, 2026
Innovation-driven group composition for effective collaborative programming: integrating multi-evidences of teacher, student, and peer assessments
TX
Tao Xie
Southwest University
JY
Jiazhen Yu
Key Points
Effective group composition can significantly improve collaborative programming tasks.
Assessment data from teachers, students, and peers illustrate collaborative effectiveness quantitatively.
Observational analysis of assessment methodologies shows varied impacts on group performance and innovation.
Enhancing collaborative programming strategies may lead to improved educational environments, promoting student engagement.
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Xie et al. (Thu,) studied this question.
synapsesocial.com/papers/69a7674fbadf0bb9e87e069a
https://doi.org/https://doi.org/10.1007/s11412-026-09469-8
Innovation-driven group composition for effective collaborative programming: integrating multi-evidences of teacher, student, and peer assessments | Synapse