Do Science and Social Science Differ? Multi-Group Analysis (MGA) of the Willingness to Continue Online Learning

Abdul Hafaz Ngah (), Nurul Izni Kamalrulzaman (), Mohamad Firdaus Halimi Mohamad (), Rosyati Abdul Rashid (), Nor Omaima Harun (), Nur Asma Ariffin () and Noor Azuan Abu Osman ()
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Abdul Hafaz Ngah: Universiti Malaysia Terengganu
Nurul Izni Kamalrulzaman: Universiti Malaysia Terengganu
Mohamad Firdaus Halimi Mohamad: Universiti Malaysia Terengganu
Rosyati Abdul Rashid: Universiti Malaysia Terengganu
Nor Omaima Harun: Universiti Malaysia Terengganu
Nur Asma Ariffin: Universiti Malaysia Terengganu
Noor Azuan Abu Osman: University of Malaya

Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 4, No 2, 2957-2980

Abstract: Abstract 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.

Keywords: Online learning during COVID-19; Expectation-confirmation theory; Multi-group analysis; Social science; Science (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11135-022-01465-y

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