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Review: A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types

Published: 01 November 2011 Publication History

Abstract

Existing literature in the field of e-learning technology acceptance reflects a significant number of independent studies that primarily investigate the causal relationships proposed by technology acceptance theory, such as the technology acceptance model (TAM). To synthesize the existing knowledge in the field of e-learning technology acceptance, we have conducted a systematic literature review of 42 independent papers, mostly published in major journals. Furthermore, in order to view the research context by combining and analyzing the quantitative results of the reviewed research studies, a meta-analysis of the causal effect sizes between common TAM-related relationships was conducted. The main findings of this study, which is the first of its kind, are: (1) TAM is the most-used acceptance theory in e-learning acceptance research, and (2) the size of the causal effects between individual TAM-related factors depends on the type of user and the type of e-learning technology. The results of the meta-analysis demonstrated a moderating effect for user-related factors and technology-related factors for several evaluated causal paths. We have gathered proof that the perceived ease of use and the perceived usefulness tend to be the factors that can influence the attitudes of users toward using an e-learning technology in equal measure for different user types and types of e-learning technology settings.

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Published In

cover image Computers in Human Behavior
Computers in Human Behavior  Volume 27, Issue 6
November, 2011
352 pages

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 November 2011

Author Tags

  1. Acceptance
  2. E-learning
  3. Meta-analysis
  4. Moderator analysis

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  • (2024)Critical antecedents of mobile learning acceptance and moderation effects: A meta-analysis on technology acceptance modelEducation and Information Technologies10.1007/s10639-024-12645-829:15(20351-20382)Online publication date: 1-Oct-2024
  • (2024)The mobile augmented reality acceptance model for teachers and future teachersEducation and Information Technologies10.1007/s10639-023-12116-629:7(7855-7893)Online publication date: 1-May-2024
  • (2024)The effects of virtual reality on EFL learning: A meta-analysisEducation and Information Technologies10.1007/s10639-023-11738-029:2(1379-1405)Online publication date: 1-Feb-2024
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