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. 2023;4(3):240.
doi: 10.1007/s42979-022-01558-3. Epub 2023 Mar 2.

An Empirical Investigation of Critical Factors Affecting Acceptance of E-Learning Platforms: A Learner's Perspective

Mitali Chugh  1 , Rajesh Upadhyay  2 , Neeraj Chugh  1
Affiliations

An Empirical Investigation of Critical Factors Affecting Acceptance of E-Learning Platforms: A Learner's Perspective

Mitali Chugh et al. SN Comput Sci. 2023.

Abstract

E-learning is evolving as the paradigm of modern-day education. Globally, e-learning has seen a rise; however, failures happen. There is a dearth of studies that discuss why a lot of learners quit e-learning after a preliminary experience. Preceding research studies carried out under diverse task settings have proposed an assortment of factors impacting learners' satisfaction with e-Learning. This study developed an integrated conceptual model with the instructor, course, and learners' dimensions and then empirically validates it. The technology acceptance model (TAM) has been employed for testing the acceptance of various technologies and software within an e-learning context. This study intends to examine the salient factors of effective e-learning acceptance by learners. A survey investigates the critical factors using a self-administered questionnaire influencing the satisfaction of learners in the e-Learning system/platform. The study uses quantitative methodology and data were collected from 348 learners. On performing the structured equation modeling for testing the hypothesized model, outcomes reveal the significant factors influencing learners' perceived satisfaction studied in three dimensions of the instructor, course, and learner. It will facilitate educational institutes and provide directions on improving learners' satisfaction and additionally improve e-Learning implementation.

Keywords: Critical success factors; E-learning; Empirical study; Technology acceptance model.

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Conflict of interest statement

Conflict of InterestThe authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
The conceptual model
Fig. 2
Fig. 2
Confirmatory factor analysis
Fig. 3
Fig. 3
Path analysis: estimation results
See this image and copyright information in PMC

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