Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community

  • Authors:

  • I-Fan Liu;Meng Chang Chen;Yeali S. Sun;David Wible;Chin-Hwa Kuo

  • Affiliations:

  • Department of Information Management, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei City 106, Taiwan;Institute of Information Science, Academic Sinica, Taiwan;Department of Information Management, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei City 106, Taiwan;Graduate Institute of Learning and Instruction, National Central University, Taiwan;Department of Computer Science and Information Engineering, Tamkang University, Taiwan

  • Venue:
  • Computers & Education
  • Year:
  • 2010

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Abstract

An online learning community enables learners to access up-to-date information via the Internet anytime-anywhere because of the ubiquity of the World Wide Web (WWW). Students can also interact with one another during the learning process. Hence, researchers want to determine whether such interaction produces learning synergy in an online learning community. In this paper, we take the Technology Acceptance Model as a foundation and extend the external variables as well as the Perceived Variables as our model and propose a number of hypotheses. A total of 436 Taiwanese senior high school students participated in this research, and the online learning community focused on learning English. The research results show that all the hypotheses are supported, which indicates that the extended variables can effectively predict whether users will adopt an online learning community. Finally, we discuss the implications of our findings for the future development of online English learning communities.