A New Perspective to University Students' Online Learning Self-Efficacy: A Structural Equation Modeling

Abstract

The aim of this paper is to examine the relationship between university students' online learning self-efficacy and academic self-efficacy using structural equation modeling and to create a statistically significant model for online learning self-efficacy. In the study, the cross-sectional survey model, one of the quantitative research methods, was used. The sample of the study consists of 322 university students studying in various programs and at different grade levels in the faculty of education in the 2022-2023 academic year. Demographic information form, academic self-efficacy scale, student’s engagement scale in online learning environments, online learning systems acceptance scale and online learning self-efficacy scale were used as data collection tools. The results obtained from the study indicated that academic self-efficacy had a positive and significant effect on student’s engagement in online learning environments and online learning systems acceptance, while student’s engagement in online learning environments and online learning systems acceptance had a positive and significant effect on online learning self-efficacy. In addition, academic self-efficacy was a stronger predictor for student’s engagement in online learning environments, and student’s engagement in online learning environments was a stronger predictor for online learning self-efficacy.