Tracking the Pulse: Intensive Longitudinal Study of Student Engagement and Contextual Correlates in Higher Education

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  In Roundtable Session: Roundtable Session 4: Student Learning and Development in College and Beyond

Abstract

Using experience sampling over two weeks, this study captured university students’ momentary engagement (behavioral, emotional, cognitive) during learning events, along with contextual features. Latent profile analysis identified three engagement states: Engaged, Disengaged, and Average. Sequence and transition network analyses revealed that the Average state was the most stable and prevalent. The multilevel multinomial logistic regression further showed that the primary person students interacted with during learning significantly predicted students’ engagement state; specifically, interacting with social partners (e.g., friends, classmates) increased the likelihood of being in the Disengaged state. These findings highlight the heterogeneous and dynamic nature of engagement and extend our understanding of engagement as a complex dynamic system in higher education.

Authors

• Pin-Cheng Huang, National Yang Ming Chiao Tung University

• Meng-Ting Lo, National Yang Ming Chiao Tung University