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Toward an Understanding of University Students’ Continued Intention to Use MOOCs: When UTAUT Model Meets TTF Model

机译:对大学生的理解,继续打算使用MOOCS:当utaut模型符合TTF模型时

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This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task–technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students’ continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464 respondents, structural equation modeling is adopted to assess the model. The results reveal that performance expectancy, effort expectancy, social influence, and user satisfaction are the crucial predictors of university students’ continued intention. TTF has an indirect influence on continued intention through user satisfaction. Performance expectancy is affected both by effort expectancy and TTF. Facilitating conditions do not directly influence continued intention; however, they present indirect influences in that they play a mediating role for user satisfaction. The findings help researchers and practitioners to attain a better understanding of university students’ continued usage intention of MOOCs. The implications and limitations of this study are also described.
机译:本研究试图提出统一的模型,整合统一的接受和使用技术理论(UTAUT)模型,任务技术拟合(TTF)模型,以及用户满意度调查影响大学生继续意图使用大规模开放的决定因素在线课程(Moocs)。基于464受访者的调查数据,采用结构方程建模来评估模型。结果表明,性能期望,努力期望,社会影响和用户满意是大学生持续意图的重要预测因子。 TTF通过用户满意度对持续意图具有间接影响。性能预期率是受到努力期望和TTF的影响。促进条件不会直接影响继续意图;然而,它们呈现间接影响,因为他们为用户满意度发挥着调解作用。调查结果有助于研究人员和从业者可以更好地理解大学生的持续使用MOOC。还描述了该研究的影响和局限性。

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