Journals / Turkish Online Journal of Distance Education / 2018 / Cilt: 19 - Sayı: 4

A Meta Analysis of Factors Affecting Perceived Usefulness and Perceived Ease of Use in The Adoption of E-Learning Systems

Pages
4–42
Publication Date
2018-10-01
DOI
—
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

Moreover, the study examines the relationship between the User Satisfaction and original TAM variables, and proposes the Acceptance and Satisfaction Model for E-Learning (ASME) as a model to best explain the dependent variables described above.

📌 3 Key Takeaways

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Objective & Hypothesis:The full potential of e-learning, a trend that is of growing importance lately, will not be reaped unless the users fully utilize the system, triggering extensive research to be conducted in order to provide valuable insight on a myriad of variables influencing user acceptance in e-learning systems.
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Key Findings & Data:In accordance with this purpose, 203 studies investigating the e-learning acceptance of the users through the Technology Acceptance Model (TAM) were found in the literature.
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Conclusion & Impact:Moreover, the study examines the relationship between the User Satisfaction and original TAM variables, and proposes the Acceptance and Satisfaction Model for E-Learning (ASME) as a model to best explain the dependent variables described above.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:E-learning · Technology Acceptance Model · perceived ease of use

Abstract

The full potential of e-learning, a trend that is of growing importance lately, will not be reaped unless the users fully utilize the system, triggering extensive research to be conducted in order to provide valuable insight on a myriad of variables influencing user acceptance in e-learning systems. The main purpose of the study is to determine the factors that affect the intention of users to use e-learning and to get results which can guide system developers and researchers. In accordance with this purpose, 203 studies investigating the e-learning acceptance of the users through the Technology Acceptance Model (TAM) were found in the literature. In those studies, variables which are suggested to determine Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) and results of related hypotheses are analyzed. Finally, a model is proposed. In this model, the most widely accepted hypotheses, affecting PU and PEOU according to the literature are included in the original TAM. As a result; it determines Self Efficacy-PEOU, Subjective Norm-PU, Self Efficacy-PU, Interaction-PU, Enjoyment-PEOU, Anxiety-PEOU, Enjoyment-PU, Compatibility-PU, Subjective Norm-PEOU and Interaction-PEOU as variables that have statistical significance in users’ PU and PEOU, respectively. Moreover, the study examines the relationship between the User Satisfaction and original TAM variables, and proposes the Acceptance and Satisfaction Model for E-Learning (ASME) as a model to best explain the dependent variables described above.

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Cite This Article

BAKI, R., BIRGOREN, B., AKTEPE, A. (2018). A Meta Analysis of Factors Affecting Perceived Usefulness and Perceived Ease of Use in The Adoption of E-Learning Systems. Turkish Online Journal of Distance Education, Cilt: 19 - Sayı: 4, 4–42. https://ajindex.com/articles/138338

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References (11)

  1. Abbad, M.M. Morris, D., Nahlik, C.D. (2009). Looking under the bonnet: factors affecting student adoption of e-Learning systems in Jordan. International Review of Research in Open and Distance Learning, 10(2), 1-15.
  2. Abbas, T. (2016). Social factors affecting students’ acceptance of e-learning environments in developing and developed countries A Structural Equation Modeling approach. Journal of Hospitality and Tourism Technology,7(2), 200–212.
  3. Abdel-Wahap, A.G. (2008). Modeling students intention to adopt e-learning a case from Egypt. The Electronical Journal of Information Systems in Developing Countries, 34(1), 1-13.
  4. Abdullah, F., Ward, R. (2016). Developing a general extended Technology Acceptance Model for elearning (GETAMEL) by analysing commonly used external factors. Computers in Human Behaviour, 56, 238-256.
  5. Abdullah, F. Ward, R. Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ perceived ease of use (PEOU) and perceived usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75-90.
  6. Abramson, J. Dawson, M. Stevens, J. (2015). An examination of the prior use of e-Learning within an extended Technology Acceptance Model and the factors that influence the behavioral intention of users to use m-Learning. SAGE Open, 5(4), 1-9.
  7. Adetimirin, A. (2015). An Empirical study of online discussion forums by library and information science postgraduate students using Technology Acceptance Model 3. Journal of Information Technology Education: Research, 14, 257-269.
  8. Agudo-Peregrina, A.F. Hernandez-Garcia, A. Pascual-Miguel, F. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301–314.
  9. Ajzen, I. (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes. 50, 179-211.
  10. Al-Adwan, A. Al-Adwan, A. Smedley, J. (2013). Exploring students’ acceptance of e-learning using Technology Acceptance Model in Jordanian universities. International Journal of Education and Development using Information and Communication Technology, 9(2), 4-18.
  11. Al-Alak, B.A. Alnawas, I.A.M. (2011). Measuring the acceptance and adoption of e-learning by academic staff. Knowledge Management & E-Learning: An International Journal, 3(2), 201. Al-Ammary, J.H. Al-Sherooqi, A.H. Al-Sherooqi, H.K. (2014). The acceptance of social networking as a learning tools at university