International Journal of Nonlinear Analysis and Applications

Structural equation modeling (SEM) in institutionalizing e-learning culture case study AJA command and staff university

Document Type : Research Paper

Authors

1 Faculty of Social Sciences, AJA University of Command and Staff, Tehran, Iran

2 AJA University of Command and Staff, Tehran, Iran

Abstract

Education has become an integral part of human life, and new methods of providing education emerge every day owing to the advancement of new technology. The education process has also changed from traditional to virtual concurrent with the advancement of technology and entering the information technology era. The penetration of information technology into the educational system, educational institutions, higher education systems, and military educational organizations has created a new concept called e-learning. In addition to in-person education, there is a need for using virtual e-learning in various educational systems, but e-learning cannot be successful without taking into account individuals' views on it. In other words, this type of learning should be examined according to stakeholders' views to detect its blind spots. With the aim of institutionalizing e-learning at AJA Command and Staff University, the present research used a mixed-method exploratory approach based on the theory of continuous adaptation and randomly selected and interviewed 8 experts in e-learning using the non-probability method. In the quantitative phase, 190 questionnaires were randomly given to the statistical sample and structural equation modeling (SEM) with Smart PLS software was used for inferential analysis. The research findings indicated that believing in e-learning with an impact factor of 0.741 and valuing e-learning with an impact factor of 0.699 were prerequisites for accepting e-learning.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 15, Issue 6
June 2024
Pages 165-172
  • Receive Date: 25 January 2023
  • Revise Date: 13 March 2023
  • Accept Date: 27 March 2023