Students' readiness for e-learning during the COVID-19 pandemic in a South-East Asian university: a Rasch analysis
Universities have shifted from face-to-face learning environments to e-learning in response to the COVID-19 pandemic. However, the sudden change to online teaching has raised concerns among lecturers about students' readiness for e-learning. This study investigates students' readiness for...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Emerald Insight
2021
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/35289/4/abstract.pdf http://ir.unimas.my/id/eprint/35289/ https://www.emerald.com/insight/publication/issn/2046-3162 https://doi.org/10.1108/AEDS-05-2020-0100 |
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| Summary: | Universities have shifted from face-to-face learning environments to e-learning in response to the COVID-19 pandemic. However, the sudden change to online teaching has raised concerns among lecturers about students' readiness for e-learning. This study investigates students' readiness for e-learning during the COVID-19 pandemic and specifically assesses any significant differences between students' gender, age, ethnicity, level of education, field of study and their readiness for an e-learning environment.
The study employed a non-experimental quantitative research design. Data were gathered from a sample of 298 undergraduate and 101 postgraduate students. WINSTEPS Rasch model measurement software was used to determine the reliability and validity of the research instrument. Descriptive, inferential statistics and differential item functioning (DIF) test were used to assess students' readiness for an e-learning mode of instruction with the latter specifically analysing students' demographic factors and their readiness for an e-learning environment.
Findings identified that most students are ready for an e-learning mode of instruction. Further analysis indicated that there were differences in students' readiness for e-learning based on their demographic profiles. |
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