ReviewFrontiers in public health2022
Effects of Online Learning on College Students in Eastern China: A Structural Equation Model.
Review in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Self-directed learning ability and online student engagement among nursing students: the mediating role of information literacy and the moderating role of self-control.Frontiers in psychology · 2026Article
- The impact of emotional value in digital teaching resources on learning motivation-an empirical analysis based on a questionnaire survey.Frontiers in psychology · 2026Article
- Academic stress and online learning engagement in medical students: the parallel mediating roles of sleep quality and positive academic emotions.BMC medical education · 2025Article
- The influence of COVID-19 pandemic on college students' academic performance and the construction of a learning ability warning system.Frontiers in public health · 2024Article
- New era of medical education: asynchronous and synchronous online teaching during and after COVID-19.Advances in physiology education · 2023Article
- An analytical model of college students' self-assessed satisfaction with the effectiveness of online learning: a structural equation model integrating LICE and S-O-R models.Frontiers in psychology · 2023Article
- University students' experience of online space while engaging in synchronous learningFrontiers in psychology · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the spread of COVID-19 worldwide, online education is rapidly catching on, even in some underdeveloped countries and regions. Based on Bandura's ternary learning theory and literature review, this paper takes online learning of college students as the research object and conducts an empirical survey on 6,000 college students in East China. Based on literature review and factor analysis and structural equation model, this paper discusses the relationship among learning cognition, learning behavior, and learning environment in online learning of college students. The learning behavior includes interactive communication, self-discipline mechanism, classroom learning, and study after class. The learning environment includes teaching ability, knowledge system, platform support, process control, and result evaluation; learning cognition includes learning motivation, information perception, and adaptability. It is found that the learning environment has a significant positive impact on learning behavior, and learning cognition has a significant positive impact on learning behavior. It is uncertain whether the learning environment significantly impacts learning cognition. At the learning environment level, the teaching ability (0.59) has the most significant impact on the learning environment, followed by result evaluation (0.42), platform support (0.40), process control (0.33), and knowledge system (0.13). In terms of the influence on learning behavior, classroom learning has the most significant impact (0.79), followed by self-discipline mechanism (0.65), study after class (0.54), and interactive communication (0.44). In terms of learning cognition, information perception (0.62) has the most significant influence, followed by learning motivation (0.50) and adaptability (0.41). This paper suggests strengthening the construction of platforms and digital resources to create a more competitive learning environment. Improve process management and personalized online services, constantly stimulate students' enthusiasm for independent online learning, and cultivate students' online independent learning ability to promote the sustainable and healthy development of online education.
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Registered trials
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