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Profiling Student Readiness for Online Learning During the COVID-19 Pandemic
Abstract
The purpose of this study was to identify the online learning readiness profiles of university students during the COVID-19 pandemic and to explain their profile membership through their background characteristics. For this purpose, data were collected from a total of 330 university students studying at a state university, and latent profile analysis (LPA) was conducted on these data. As a result of the analyses, two student profiles were identified as “high e-learning readiness” and “low e-learning readiness.” Other findings obtained in the study revealed that student family income level, mother's education level, time and purpose of the internet use, having a computer or not, and their views on whether e-learning compensated for face-to-face education during the COVID-19 pandemic process explained the differences in the probabilities profile membership. On the other hand, gender and father's education level were found to have no relationship with profile membership. The findings were discussed in line with the related literature.
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