Abstract
During the pandemic crises, online learning has moved from the margin to the centre of education, thus making a change in the educational paradigm. The degrees of technology acceptance, therefore, pose a major challenge to administrators, educators, and students, including lifelong learners from all fields of work. This paper aims to investigate how technology acceptance facilitates lifelong learners’ continuing learning intention. By constructing a structural equation model based on the Technology Acceptance Model (TAM) theory and verifying the mediating role of learning satisfaction and the moderating role of affective support empirically, this study addresses the online learning characteristics in terms of self-efficacy, satisfaction, and willingness to learn in the context of lifelong learners. Data were collected from the questionnaires embedded in the courses at a distance teaching university. A total of 513 questionnaires have been retrieved and 488 valid questionnaires have been processed and analysed via SPSS 26.0 and Amos 24.0. The findings indicate that positive relationships and positive correlations between learning satisfaction and continuing learning intention juxtapose, and satisfaction is positively correlated with continuing intention. Moreover, affective support moderates the three components significantly. The results of this research help expand the applicability of the TAM theory with more practical significance, conveying positive messages to the administrators, educators and lifelong learners in continuance of online learning, and thus maintaining retention, particularly in the post-pandemic new normal for the sustainability of higher education.
Funder
Chinese Society of Education
Philosophical and Social Research Foundation for Higher Educational Institutions in Jiangsu
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference77 articles.
1. A Global Outlook to the Interruption of Education due to COVID-19 Pandemic: Navigating in a Time of Uncertainty and Crisis;Bozkurt;Asian J. Dist. Educ.,2020
2. Education in Normal, New Normal, and Next Normal;Bozkurt;Dist. Edu. China,2021
3. Persada, S.F., Prasetyo, Y.T., Suryananda, X.V., Apriyansyah, B., Ong, A.K.S., Nadlifatin, R., Setiyati, E.A., Putra, R.A.K., Purnomo, A., and Triangga, B. (2022). How the Education Industries React to Synchronous and Asynchronous Learning in COVID-19: Multigroup Analysis Insights for Future Online Education. Sustainability, 14.
4. A Meta Analysis of Factors Affecting Perceived Usefulness and Perceived Ease of Use in the Adoption of e-Learning System;Baki;Turk. Online J. Dist. Educ.,2018
5. Research on the Quality Factors and Shortcomings Improvement of Online Teaching in Universities Based on TQM;Gong;China’s e-Educ.,2021