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Do Science and Social Science Differ? Multi-Group Analysis (MGA) of the Willingness to Continue Online Learning
Without proper preparation by higher institutions, the COVID-19 pandemic has forced the world to rely on online learning. Even students of social science and science are looking for different knowledge and skills. Currently, both groups rely on the same method to gather knowledge for future undertak...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365218/ https://www.ncbi.nlm.nih.gov/pubmed/35971418 http://dx.doi.org/10.1007/s11135-022-01465-y |
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author | Ngah, Abdul Hafaz Kamalrulzaman, Nurul Izni Mohamad, Mohamad Firdaus Halimi Abdul Rashid, Rosyati Harun, Nor Omaima Ariffin, Nur Asma Abu Osman, Noor Azuan |
author_facet | Ngah, Abdul Hafaz Kamalrulzaman, Nurul Izni Mohamad, Mohamad Firdaus Halimi Abdul Rashid, Rosyati Harun, Nor Omaima Ariffin, Nur Asma Abu Osman, Noor Azuan |
author_sort | Ngah, Abdul Hafaz |
collection | PubMed |
description | Without proper preparation by higher institutions, the COVID-19 pandemic has forced the world to rely on online learning. Even students of social science and science are looking for different knowledge and skills. Currently, both groups rely on the same method to gather knowledge for future undertakings. Given the uncertainty regarding the resolution of COVID-19, which has driven students to continue using online learning, the current study aims to identify the factors of willingness to continue online learning among social science and pure science students by extending the use of expectation-confirmation theory. Applying a purposive sampling method, 2,215 questionnaires were collected among undergraduate students from Universiti Malaysia Terengganu (UMT) using an online survey. Current study found that expectation and confirmation positively affect satisfaction. Attitude, satisfaction and readiness were found to have a positive relationship with willingness to continue online learning. Meanwhile, self-efficacy was found unsupported hypothesis for the direct effect. For multigroup analysis, readiness was found to have a significant difference between students of social science and pure science. The findings of this research enrich the literature about online learning, especially in the COVID-19 setting. Moreover, this work is useful for higher education institutions seeking to design a better strategy that allows students to return to campus. |
format | Online Article Text |
id | pubmed-9365218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-93652182022-08-11 Do Science and Social Science Differ? Multi-Group Analysis (MGA) of the Willingness to Continue Online Learning Ngah, Abdul Hafaz Kamalrulzaman, Nurul Izni Mohamad, Mohamad Firdaus Halimi Abdul Rashid, Rosyati Harun, Nor Omaima Ariffin, Nur Asma Abu Osman, Noor Azuan Qual Quant Article Without proper preparation by higher institutions, the COVID-19 pandemic has forced the world to rely on online learning. Even students of social science and science are looking for different knowledge and skills. Currently, both groups rely on the same method to gather knowledge for future undertakings. Given the uncertainty regarding the resolution of COVID-19, which has driven students to continue using online learning, the current study aims to identify the factors of willingness to continue online learning among social science and pure science students by extending the use of expectation-confirmation theory. Applying a purposive sampling method, 2,215 questionnaires were collected among undergraduate students from Universiti Malaysia Terengganu (UMT) using an online survey. Current study found that expectation and confirmation positively affect satisfaction. Attitude, satisfaction and readiness were found to have a positive relationship with willingness to continue online learning. Meanwhile, self-efficacy was found unsupported hypothesis for the direct effect. For multigroup analysis, readiness was found to have a significant difference between students of social science and pure science. The findings of this research enrich the literature about online learning, especially in the COVID-19 setting. Moreover, this work is useful for higher education institutions seeking to design a better strategy that allows students to return to campus. Springer Netherlands 2022-08-10 /pmc/articles/PMC9365218/ /pubmed/35971418 http://dx.doi.org/10.1007/s11135-022-01465-y Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Ngah, Abdul Hafaz Kamalrulzaman, Nurul Izni Mohamad, Mohamad Firdaus Halimi Abdul Rashid, Rosyati Harun, Nor Omaima Ariffin, Nur Asma Abu Osman, Noor Azuan Do Science and Social Science Differ? Multi-Group Analysis (MGA) of the Willingness to Continue Online Learning |
title | Do Science and Social Science Differ? Multi-Group Analysis (MGA) of the Willingness to Continue Online Learning |
title_full | Do Science and Social Science Differ? Multi-Group Analysis (MGA) of the Willingness to Continue Online Learning |
title_fullStr | Do Science and Social Science Differ? Multi-Group Analysis (MGA) of the Willingness to Continue Online Learning |
title_full_unstemmed | Do Science and Social Science Differ? Multi-Group Analysis (MGA) of the Willingness to Continue Online Learning |
title_short | Do Science and Social Science Differ? Multi-Group Analysis (MGA) of the Willingness to Continue Online Learning |
title_sort | do science and social science differ? multi-group analysis (mga) of the willingness to continue online learning |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365218/ https://www.ncbi.nlm.nih.gov/pubmed/35971418 http://dx.doi.org/10.1007/s11135-022-01465-y |
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