期刊名称：Australasian Journal of Educational Technology
印刷版ISSN：1449-3098
电子版ISSN：1449-5554
出版年度：2017
卷号：33
期号：5
DOI：10.14742/ajet.2914
语种：English
出版社：Australasian Society for Computers in Learning in Tertiary Education
摘要：The purpose of this paper was to investigate what factors influence learners’ continuance intention in massive open online courses (MOOCs) for online collaborative learning. An extended expectation confirmation model (ECM) was adopted as the theoretical foundation. A total of 435 valid samples were collected in mainland China and structural equation model (SEM) approach was adopted. The descriptive statistics show that platforms from abroad, such as Coursera and Khan, are more popular than native ones in mainland China. The empirical results show that the effects of three ECM factors (satisfaction with prior learning experience, confirmation with prior learning experience, and perceived usefulness) are significant. Different factors have different predicting power. Knowledge outcome is the first powerful indicator of learners’ continuance intention of MOOCs, followed by social influence, learners’ satisfaction with prior learning experience, and performance proficiency. The effects of knowledge outcome, performance proficiency, and social influence are significant, showing the success of extended ECM.
关键词：continuance intention;massive open online courses;learning outcome;social influence;expectation confirmation model
