Is it externally stimulated or internally driven? A study on the influencing mechanisms of Chinese graduate students' intention to continue online learning

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Education Pub Date : 2025-03-11 DOI:10.1016/j.compedu.2025.105293
Honghong Cai , Mingjie Pan , Leilei Huang
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引用次数: 0

Abstract

The COVID-19 pandemic has significantly propelled the progression of online instruction in China. Existing studies have demonstrated that the quality of teachers' online teaching, as well as students' self-regulated learning (SRL), has a considerable impact on undergraduates' intention to persist with online learning. However, few studies have simultaneously considered these two aspects within a unified analytical framework, particularly regarding their influence on graduate students' intention to continue online learning. Therefore, this study aims to identify teachers' e-readiness and graduate students' SRL that enable students' online learning outcomes and, ultimately, their intention to continue online learning. Data were collected via a survey of 10,346 graduate students from 40 top universities in China, who had participated in online course learning. The results derived from the structural equation models and conditional process models indicated that teachers' e-readiness significantly influenced online learning outcomes, which in turn predicted students' intention to continue online learning. Additionally, it was discovered that self-regulated learning negatively moderated both the direct and indirect relationships between teachers' e-readiness and graduate students' intention to continue online learning. The constructed equations representing graduate students' intention to continue online learning suggested that relative to teachers' e-readiness, graduate students' SRL exerted a greater influence on their intention to continue online learning, with the two factors exhibiting substitution effects under specific circumstances.
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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Editorial Board Design and evaluation of a repository of toolkits based on design thinking for socio-educational intervention with vulnerable migrant women Is it externally stimulated or internally driven? A study on the influencing mechanisms of Chinese graduate students' intention to continue online learning Editorial Board How students engage with learning analytics: Access, action-taking, and learning routines with message-based information to support collaborative annotation
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