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Technology-Embedded Educational Policy: Mediation Effects of the Use of Virtual Learning Influence on Learner Satisfaction

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Listed:
  • Narain Das
  • Kenneth Khawandiza Sunguh
  • Binesh Sarwar
  • Arslan Ahmed
  • Shah Hassan

Abstract

While research on the use of technology to enhance learner satisfaction has received so much consideration from scholars, only limited studies have examined the effects and usefulness of virtual learning about learner satisfaction. In this study, Technology Adoption Model (TAM) and Task-Technology Fit theory (TTF) have been integrated to explore how virtual learning plays a significant role specifically by testing the mediation effects that virtual learning has on the relationship between peer interaction, perceived usefulness, ease of use and learner satisfaction. The Structural Equation Modeling (SEM) technique was used to analyze the data whereby both Explanatory Factor Analysis (EFA) and a Confirmatory Factor Analysis (CFA) were performed on the variables. The results indicate that all hypotheses have been confirmed by providing significant positive relationships between the variables and more importantly, virtual learning plays a highly significant role in promoting learner satisfaction. It is concluded that higher learning institutions should incorporate virtual learning methods to motivate learners in order to encourage satisfaction hence ensuring higher performance.

Suggested Citation

  • Narain Das & Kenneth Khawandiza Sunguh & Binesh Sarwar & Arslan Ahmed & Shah Hassan, 2019. "Technology-Embedded Educational Policy: Mediation Effects of the Use of Virtual Learning Influence on Learner Satisfaction," Journal of Education and Training, Macrothink Institute, vol. 6(1), pages 41-54, February.
  • Handle: RePEc:mth:jetjnl:v:6:y:2019:i:1:p:41-54
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    References listed on IDEAS

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    2. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    3. James E. Bailey & Sammy W. Pearson, 1983. "Development of a Tool for Measuring and Analyzing Computer User Satisfaction," Management Science, INFORMS, vol. 29(5), pages 530-545, May.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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