Profiling Student Readiness for Online Learning During the COVID-19 Pandemic

2022 ◽  
pp. 477-498
Author(s):  
Ferit Karakoyun ◽  
Bülent Basaran

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.

2018 ◽  
Vol 76 (4) ◽  
pp. 483-498
Author(s):  
Soo Eun Chae ◽  
Mi-Suk Lee

Past research on higher-order thinking (HOT) was mainly conducted on the bases of educational context in U.S. or western countries. This research aimed to see what kinds of HOT styles actually appear in universtiy students in South Korea. The use of HOT skills were explored in Korean universtiy students and the factors influencing the classification were examined. 1,138 Korean university students were called to respond to Lee’s (2016) Higher-Order-Thinking-Scale for Korean University Students (HOTUS). Then, a latent profile analysis and the multinomial logistic analysis were conducted. The latent profile analysis revealed that the use of HOT skills could be classified into four classes (i.e., a lower-order thinking class, a creative-argumentative class, an analytical-caring class, and a higher-order thinking class). Gender, year, and instructional approach were the determinants of latent profile types. However, there were no differences when measured by academic fields. Students with lower years were likely to fall under lower-order thinking class. The probability that men was classified as a caring class was statistically significantly lower than that of women. Students who received lecturer-centered learning were more likely to fall under the analytical and caring class. Keywords: higher-order thinking skill, latent profile analysis, multinomial logistic analysis.


2021 ◽  
Vol 3 (1) ◽  
pp. 12-20
Author(s):  
Falinda Oktariani ◽  
Richa Fionasari ◽  
Triana Ramdha

The purpose of this study is to examine online learning during the pandemic period from the learner's economic standpoint. Seeing how far family income influences student learning achievement from the perspective of mastering English. The data is derived from English academic achievement and a questionnaire focusing on students' economic situations, and it is analyzed using the SPSS version 23 application. After being determined to be homogeneous and normally distributed, the data was collected and analyzed to test the hypothesis using R Square and ANOVA techniques. The results show that family economic factors influence Riau University students' English proficiency as much as 69.7 % in 2021 during the COVID-19 pandemic which may result in learning loss for the students


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