Investigating the learning self-efficacy of a fully online teaching environment among undergraduate Chinese medical students: a cross-sectional study
Abstract
Fully online learning has become a common option in many universities worldwide in the post-COVID-19 era. The study aimed to evaluate the dimensions and characteristics of the fully online learning self-efficacy among Chinese undergraduate medical and nonmedical students. A cross-sectional study was conducted from January to August 2023 at Xihua University in China. A stratified cluster sampling method was used to enroll participants of undergraduate students. The Chinese version of the online learning self-efficacy scale (OLSES) was used to collect the demographic information. Cronbach’s alpha coefficient, exploratory factor analyses, confirmatory factor analyses, and linear regression analyses were conducted in the study. A total of 203 college students were included in the study. One hundred and twenty (59.1%) of the participants were medical students and 83 (40.9%) were nonmedical students, and most of them (64.5%) were from rural areas. The Cronbach’s alpha coefficients were determined to be 0.90, 0.86, 0.87, and 0.95 for the learning in a fully online environment, time management, technology use subscales, and the whole scale, respectively. Exploratory factor analysis revealed the justifiability of factor analysis. In the confirmatory factor analysis, the majority of the goodness-of-fit indices reached an acceptable threshold (χ2/df = 3.14, RMR = 0.06, RMSEA = 0.10, NFI = 0.84, RFI = 0.80, IFI = 0.89, TLI = 0.85, CFI = 0.90). More than half of the students reported…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.
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