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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Emerald Insight
2021
|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Malaysia Sarawak |
Language: | English |
id |
my.unimas.ir.35289 |
---|---|
record_format |
eprints |
spelling |
my.unimas.ir.352892023-10-13T02:42:38Z http://ir.unimas.my/id/eprint/35289/ Students' readiness for e-learning during the COVID-19 pandemic in a South-East Asian university: a Rasch analysis Donnie, Adams Chuah, Kee Man Bambang, Sumintono Ahmed, Mohamed LB Theory and practice of education LB2300 Higher Education 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. Emerald Insight 2021-03-19 Article PeerReviewed text en http://ir.unimas.my/id/eprint/35289/4/abstract.pdf Donnie, Adams and Chuah, Kee Man and Bambang, Sumintono and Ahmed, Mohamed (2021) Students' readiness for e-learning during the COVID-19 pandemic in a South-East Asian university: a Rasch analysis. Asian Education and Development Studies, 10 (3). pp. 1-16. ISSN 2046-3162 https://www.emerald.com/insight/publication/issn/2046-3162 https://doi.org/10.1108/AEDS-05-2020-0100 |
institution |
Universiti Malaysia Sarawak |
building |
Centre for Academic Information Services (CAIS) |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Sarawak |
content_source |
UNIMAS Institutional Repository |
url_provider |
http://ir.unimas.my/ |
language |
English |
topic |
LB Theory and practice of education LB2300 Higher Education |
spellingShingle |
LB Theory and practice of education LB2300 Higher Education Donnie, Adams Chuah, Kee Man Bambang, Sumintono Ahmed, Mohamed Students' readiness for e-learning during the COVID-19 pandemic in a South-East Asian university: a Rasch analysis |
description |
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. |
format |
Article |
author |
Donnie, Adams Chuah, Kee Man Bambang, Sumintono Ahmed, Mohamed |
author_facet |
Donnie, Adams Chuah, Kee Man Bambang, Sumintono Ahmed, Mohamed |
author_sort |
Donnie, Adams |
title |
Students' readiness for e-learning during the COVID-19 pandemic in a South-East Asian university: a Rasch analysis |
title_short |
Students' readiness for e-learning during the COVID-19 pandemic in a South-East Asian university: a Rasch analysis |
title_full |
Students' readiness for e-learning during the COVID-19 pandemic in a South-East Asian university: a Rasch analysis |
title_fullStr |
Students' readiness for e-learning during the COVID-19 pandemic in a South-East Asian university: a Rasch analysis |
title_full_unstemmed |
Students' readiness for e-learning during the COVID-19 pandemic in a South-East Asian university: a Rasch analysis |
title_sort |
students' readiness for e-learning during the covid-19 pandemic in a south-east asian university: a rasch analysis |
publisher |
Emerald Insight |
publishDate |
2021 |
url |
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 |
_version_ |
1781710317941686272 |