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文章基本信息

  • 标题:Analysis of Behavioral Intention to Use Cloud-Based Tools in a MOOC: A Technology Acceptance Model Approach
  • 作者:Miguel Morales Chan ; Roberto Barchino Plata ; Jose Amelio Medina
  • 期刊名称:Journal of Universal Computer Science
  • 印刷版ISSN:0948-6968
  • 出版年度:2018
  • 卷号:24
  • 期号:8
  • 页码:1072-1089
  • 出版社:Graz University of Technology and Know-Center
  • 摘要:MOOC students' adoption of cloud-based tools has the potential to enrich the learning process and enhance the management of knowledge. The aims of this study are to evaluate the behavioral intention to use cloud-based tools in MOOC context, and to explore the factors that influence this intention, based on extended technology of acceptance model (TAM). This paper reports the findings of a case study conducted on the edX platform. Survey data collected from 133 end-users were analyzed by using structured equation modeling (SEM) to validate the causal relationship among the various constructs of the research model proposed. The findings suggested that the perceived ease of use and the perceived usefulness influence the attitude toward the cloud-based tools used in a MOOC.
  • 关键词:Cloud-based tools; Codeboard; MOOC; structural equation modeling; technology acceptance model
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