Abstract
At the beginning of the year 2020, massive fast spread Coronavirus or (COVID-19) pandemic caused a serious impact on the education system worldwide. This chapter aims to explore the students’ attitude to use social media as a learning tool during COVID-19 pandemic based on the view of the Health Belief Model (HBM). A total of 504 students in Malaysian universities were involved in this study. The partial least squares structural equation modelling (PLS-PM) has been employed to analyse the data collected in this study. The results indicated that perceived susceptibility, perceived severity, perceived barriers, perceived (health) motivation, perceived benefits and self-efficacy were significant in predicting the students’ attitude to use social media as a learning tool during COVID-19 pandemic. The results of this study has been contributed to the existing literature by validating HBM in the Malaysian context and provide theoretical contributions and practical implications to the theory, and practice.
| Original language | English |
|---|---|
| Title of host publication | Studies in Systems, Decision and Control |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 333-347 |
| Number of pages | 15 |
| DOIs | |
| State | Published - 2021 |
| Externally published | Yes |
Publication series
| Name | Studies in Systems, Decision and Control |
|---|---|
| Volume | 348 |
| ISSN (Print) | 2198-4182 |
| ISSN (Electronic) | 2198-4190 |
Bibliographical note
Publisher Copyright:© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- COVID-19 pandemic
- Health belief model
- Higher education institutes
- Social media
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Control and Systems Engineering
- Automotive Engineering
- Social Sciences (miscellaneous)
- Economics, Econometrics and Finance (miscellaneous)
- Control and Optimization
- Decision Sciences (miscellaneous)
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