She Maoyan, Xu Yiyang, Li Zhigang, Hu Die
College of Management Science, Chengdu University of Technology, Chengdu, Sichuan, China.
Business School of Sichuan University, Sichuan University, Chengdu, Sichuan, China.
Front Psychol. 2025 Apr 11;16:1522810. doi: 10.3389/fpsyg.2025.1522810. eCollection 2025.
Blended learning (BL) has become an important learning method in the high education with the rapid advancement of "Internet + Education," however, college students face notable challenges, such as high dropout rates, low participation and low persistence, which largely reduce the learning effect of BL. Therefore, it is necessary to deeply analyze the question: "What factors will influence college students' continuance behavior in blended learning (CBBL)?"
Based on the stimulus-organism-response (SOR) framework and social cognitive theory, this study constructs an integrated model of "," to examine the relationships among the blended course characteristics (BCC), instructor support (IST), individual attributes, such as learning motivation (LM), self-efficacy (SEF) and learning engagement (LET), and college students' CBBL. Colleting 466 College students who participated in BL through Chinese university MOOCs, the structural equation modeling (SEM) approach was used to test the proposed hypotheses.
The empirical results indicating that, (1) this integrated model explains 62.85% of the variance in college students' CBBL, and LM, SEF, and LET emerge as the key determinants influencing college students' CBBL. (2) BCC positively affects LM and LET but has no significant on SEF, and it promotes college students' CBBL through LM and LET rather than SEF. (3) ITS exerts a significant influence on LM, SEF, and LET, with the most pronounced impact on LET. Moreover, ITS significantly facilitates college students' CBBL via LM, SEF, and LET.
ORIGINALITY/VALUE: This study theoretically contributes to literature on BL and extends the application scope of SOR framework. Also, it reveals the antecedents of college students' CBBL in the BL environment, which is crucial for guiding their continuance learning and promoting the sustainable development of BL education.
随着“互联网 + 教育”的快速发展,混合式学习(BL)已成为高等教育中的一种重要学习方式。然而,大学生面临着诸如高辍学率、低参与度和低持续性等显著挑战,这在很大程度上降低了混合式学习的效果。因此,有必要深入分析“哪些因素会影响大学生在混合式学习中的持续行为(CBBL)?”这一问题。
基于刺激 - 机体 - 反应(SOR)框架和社会认知理论,本研究构建了一个“ ”的整合模型,以检验混合课程特征(BCC)、教师支持(IST)、个体属性(如学习动机(LM)、自我效能感(SEF)和学习投入(LET))与大学生CBBL之间的关系。通过中国大学MOOCs收集了466名参与混合式学习的大学生的数据,采用结构方程模型(SEM)方法对提出的假设进行检验。
实证结果表明,(1)该整合模型解释了大学生CBBL中62.85%的方差变异,并且LM、SEF和LET是影响大学生CBBL的关键决定因素。(2)BCC对LM和LET有正向影响,但对SEF无显著影响,且它通过LM和LET而非SEF促进大学生的CBBL。(3)ITS对LM、SEF和LET有显著影响,对LET的影响最为显著。此外,ITS通过LM、SEF和LET显著促进大学生的CBBL。
原创性/价值:本研究在理论上为混合式学习的文献做出了贡献,并扩展了SOR框架的应用范围。此外,它揭示了混合式学习环境中大学生CBBL的前因,这对于指导他们的持续学习和促进混合式学习教育的可持续发展至关重要。