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An Empirical Study of How the Learning Attitudes of College Students toward English E-Tutoring Websites Affect Site Sustainability

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  • Paul Juinn Bing Tan

    (Department of Applied Foreign Languages, National Penghu University of Science and Technology, Magong 880, Taiwan)

Abstract

The present study utilized the Technology Acceptance Model (TAM 3) to explore the learning attitudes of college students with respect to English e-tutoring websites, an approach that has rarely been employed from the perspective of information technology and the global e-digital market. More specifically, the study used college students’ assessments of self-paced business English e-learning websites to investigate the adoption of those sites. Using simple linear regression analysis, the research explored the question of whether engagement in e-learning was able to enhance the students’ willingness to learn. The results of the analysis indicated that the majority of English e-tutoring users felt that online sources for learning English offer greater convenience and are more effective than noninternet resources. This finding suggests, in turn, that the web designers of business English e-learning websites could maintain and enhance the loyalty of site users by taking care to ensure the quality of the sites’ content. In particular, the knowledge management functions and interface requirements of student users should be adequately addressed by web designers so that the students can operate the websites more easily in the course of the learning process.

Suggested Citation

  • Paul Juinn Bing Tan, 2019. "An Empirical Study of How the Learning Attitudes of College Students toward English E-Tutoring Websites Affect Site Sustainability," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1748-:d:216409
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    References listed on IDEAS

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    1. Deborah R. Compeau & Christopher A. Higgins, 1995. "Application of Social Cognitive Theory to Training for Computer Skills," Information Systems Research, INFORMS, vol. 6(2), pages 118-143, June.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    5. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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