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  • 标题:An Empirical Study on the Factors Influencing Users’ Continuance Intention of Using Online Learning Platforms for Secondary School Students by Big Data Analytics
  • 本地全文:下载
  • 作者:Guomin Chen ; Cao Shuo ; Pengrun Chen
  • 期刊名称:Mobile Information Systems
  • 印刷版ISSN:1574-017X
  • 出版年度:2022
  • 卷号:2022
  • DOI:10.1155/2022/9508668
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:During the new coronavirus epidemic in 2020, the number of online learning platform users grew explosively, with secondary school students becoming the main group of online learning platform users. Especially the virtual clinical learning environment of online learning platform for secondary school students, as one of the main factors affecting users’ sustained use, has become an important issue companies and researchers are faced with. This paper, taking secondary school student users as the research object, constructed a model of factors influencing users’ intention to continuously use the online learning platform for secondary school students. The model, based on TAM model and ECM model, consisted of 10 variables, including TP-Teaching presence, resource quality, system quality, perceived usefulness, perceived ease of use, academic identity, self-efficacy, users’ satisfaction, teacher-student relationship, and behavioral intention. Results of this study empirically showed that TP-Teaching presence had the most significant effect on perceived usefulness, which in turn indirectly influenced users’ continuance intention of using the platform; secondary school student’s self-efficacy has the most significant impact on users’ continuous intention. Therefore, when developing the platform, enterprises should pay attention to the construction of the platform learning environment and enhance the self-efficacy of secondary school students.
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