Abstract

This review examines 12 years of research by focusing on the following question: What are the factors that influence self-efficacy in an online learning environment? There has been a plethora of research concerning self-efficacy. However, few works have focused on the sources of self-efficacy in online-learning environments. Systematic searches of numerous online data-bases published between 2005 and 2017, which covered factors influencing self-efficacy in online learning context, resulted in the investigation of 25 studies. The data were extracted, organized and analyzed using a narrative synthesis. Results revealed that various factors improved self-efficacy and provided evidence of significant sources of self-efficacy in the context of online learning. Moreover, the investigation provides guidance for further research in designing online learning environments to enhance the self-efficacy of learners.

Highlights

  • Technological advances and easier access to the Internet have led to an increase in online learning compared with traditional learning environments

  • The objective of the current review is to examine systematically factors that contribute to self-efficacy in the online learning environment, and which have not previously appeared in open literature

  • - Computer experience had a significant effect on e-learning specific self-efficacy (! = .51, p < .001). - Personal innovativeness with information technology (IT) had a significant influence on elearning specific self-efficacy (! = 0.46, p < .001). - Computer playfulness had a significant effect on e-learning specific self-efficacy (! = 0.40, p < .001). - E-learning specific self-efficacy mediated the effect of computer experience on perceived ease of use - E-learning specific self-efficacy partially mediated the effect of personal innovativeness and computer playfulness on perceived ease of use

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Summary

Introduction

Technological advances and easier access to the Internet have led to an increase in online learning compared with traditional learning environments. As the number of online-learning users continues to increase, there is a need to understand how students can best apply learning strategies to achieve academic success within the online environment. Beliefs about self-efficacy determine level of motivation as reflected in the amount of effort exerted in an endeavor and the length of time devoted to a challenging situation [2]. If persons have a low level of self-efficacy toward a task, they are less likely to exert effort and accomplish the task. Research findings have demonstrated that self-efficacy is a better predictor of academic achievement than other cognitive or affective processes [3]. Student self-efficacy seems important in challenging learning environments, such as an online learn-

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