ArticleBehavioral sciences (Basel, Switzerland)2025
Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their Relationship.
Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Ensemble machine learning framework with SHAP and LIME for accurate early prediction of student success in online learning environments.Scientific reports · 2026Article
- Learning behavior, student engagement, and academic performance in learning analytics.Frontiers in psychology · 2026Article
- Effects of reflective diaries guided by Kolbs experiential learning theory on learning engagement and academic emotions in nursing undergraduates a quasi-experimental study.Scientific reports · 2025Article
- Pop Culture in the Classroom: Associations with Student Learning Outcomes and the Underlying Psychological Mechanisms.Behavioral sciences (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
As online learning platforms become prevalent, online learning has been an important way for college students. Online learning engagement, as an evaluation of online learning quality, is crucial for enhancing learning quality and promoting higher education by investigating college students' engagement and its influencing factors in the online learning environment. This paper aims to identify key factors affecting college students' online learning behavioral engagement. Based on a literature review, the Delphi expert consultation method was used to build an assessment framework covering five dimensions (participation, concentration, interaction, challenge, and self-monitoring) with sixteen specific indicators. The Analytic Hierarchy Process (AHP) determined the weights of these factors. Then, data from 63 students using the "Ketangpai" online learning platform were collected and analyzed to explore the correlation and predictive relationships between online learning behavior indicators and academic achievements. The results showed a strong correlation between the frequency of accessing online learning resources and long-term online learning and academic performance, and a prediction model was established. The framework offers theoretical and methodological insights for designing online learning activities and evaluating learning quality. It supports intervening in and assessing college students' online learning processes and improving learning quality. Also, exploring the relationship helps educators formulate personalized online teaching strategies, improving online education effectiveness and students' learning experiences.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.