Influancing Factors To Adopt M-LearningDuring Covid-19 For Schools In Pakistan

Authors

  • Syed Muhammad Bilal
  • Siti Sophiayati Yuhaniz
  • Noor Hafizah Hassan

DOI:

https://doi.org/10.11113/oiji2023.11n2.284

Keywords:

M-Learning, Influencing Factors, COVID-19

Abstract

The purpose of this research is to investigate the factors exaggerated due to COVID-19 to adopt m- learning specifically in schools in Pakistan. During COVID-19, school, colleges, universities were obliged to close to implement precautionary measures. The key adopted policy to reduce pandemic was physical distancing forced all towards digital social lifestyle. Health anxiety due to pandemic exaggerated the use of digital devices. Users had to bear price of devices and services. The theoretical model of UTAUT suggests that the actual use of technology is determined by behavioural intention. The degree of association between the independent variables Performance Expectancy (PE), Effort of Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), and Physical Distancing (PD) is determined using a modified UTAUT model. Whereas the Health Anxiety and Price Value moderating factors are chosen to make the model acceptable for evaluating the study questions and hypothesis. The research is going to explore a gap in the literature by analysing the Physical Distancing and moderating variables of Health Anxiety and Price Value, which might influence the student’s behaviour of Madrasa-tul-Banat High school. 210 female students of grade8,9, and 10 were selected for this research. In this study, a questionnaire survey is utilized to obtain quantitative data on student’s intention and actual usage of m-learning. SPSS 27.0 software is used to evaluate the questionnaire's design and execution, and it will be utilized to examine the degree of association between the research's components.

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Published

2023-12-18

How to Cite

Bilal, S. M., Yuhaniz, S. S., & Hassan, N. H. (2023). Influancing Factors To Adopt M-LearningDuring Covid-19 For Schools In Pakistan. Open International Journal of Informatics, 11(2), 141–152. https://doi.org/10.11113/oiji2023.11n2.284