Peer collaborative learning and academic engagement in university libraries: a moderated mediation model and latent profile analysis
Hanqiao Tang, Lei Shen

TL;DR
This study explores how peer collaborative learning in university libraries affects academic engagement, revealing that not all collaboration is beneficial and identifying distinct student groups.
Contribution
The core contribution is identifying a 'pseudo-collaboration' trap through the discovery of the largest student group, 'Inefficient Socializers.'
Findings
Latent Profile Analysis identified four student profiles, with 'Inefficient Socializers' showing high emotional support but low academic engagement.
Basic psychological needs partially mediated the relationship between collaboration quality and academic engagement, accounting for 52.3% of the total effect.
Academic discipline did not significantly moderate the effects observed in the study.
Abstract
As university libraries transform into “Learning Commons,” peer collaborative learning has become increasingly common. However, the complexity of its effectiveness and its underlying mechanisms remain underexplored. This study systematically investigates the relationship between peer collaborative learning and academic engagement. Integrating both person-centered and variable-centered approaches, the study employs Latent Profile Analysis (LPA) to identify heterogeneous groups of students based on their collaboration patterns and engagement levels, challenging the conventional wisdom that “collaboration is always beneficial.” Concurrently, based on Self-Determination Theory (SDT), a mediation model is constructed to test the bridging role of basic psychological needs (competence and relatedness). Using a questionnaire survey, data were collected from 820 university students to measure…
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Taxonomy
TopicsMotivation and Self-Concept in Sports · Innovative Teaching and Learning Methods · Online and Blended Learning
