Undergrad classroom cooperation and academic performance: Beneficial for real-world-like problems but detrimental for algebra-based problems
Javier Pulgar, Cristian Candia, Paul Leonardi

TL;DR
This study explores how different instructional strategies and social network configurations influence first-year physics students' performance on structured and ill-structured problems, highlighting the importance of tailored cooperative learning approaches.
Contribution
It reveals the differential impact of social configurations on problem types and emphasizes the role of instructional strategies in cooperative learning effectiveness.
Findings
Students seeking multiple peers perform worse on algebra-based problems.
Highly clustered networks improve well-structured problem performance.
Access to diverse information benefits ill-structured problem solving.
Abstract
For several decades, scholars have studied cooperation and its outcomes in the educational context. Yet, we lack a complete understanding of how different instructional strategies impact the relationship between cooperation and learning. Here we studied how different instructional strategies led to different social configurations and their differences in individual academic performance in an experiment with 82 first-year students from an introductory physics course. Surprisingly, we found that students who actively seek out information on multiple peers are less likely to achieve good performance on well-structured (algebra-based) problems, whereas, for ill-structured (real-world-like) problems, this effect depended on the features of the learning environment. Besides, we observed that good performance on ill and well-structured problems responded to different social network…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
