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Digitalisation Transformation in High Schools: Analysis of the COVID-19 Pandemic’s Accelerating Impact

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Emerging Technologies in Computing (iCETiC 2023)

Abstract

How COVID-19 has impacted digitalisation in high schools is presented. The scale of the utilisation of Information Systems (ISs) is presented as statistical study which addresses a notable gap in the published literature. The study focussed on the impact of the adoption of LMS (Learning Management System) and other related variables in digitalisation in higher education with a comparison made before and after the pandemic. The research also sought to understand the level of LMS usage by the administration during the pandemic. The research methodology employed was a triangulation technique, which combined qualitative and quantitative methods. This approach allowed for a comprehensive investigation of the research questions. The quantitative method involved the use of questionnaires to acquire data from a large number of participants, whilst the qualitative method involved the use of focus groups to gain more in-depth insights into the experiences and perceptions of the participants. The study used statistical data analyses: ANOVA; one sample t-test; crosstab comparison; Bayesian factor and estimates – to analyse the data collected. These analyses provided valuable insights into the impact of the pandemic on the digitalisation process in high schools. These being to provide recommendations for enhancing the digitalisation process in high schools such as guiding educators, school administrators and policymakers in their efforts to improve the digital learning experience for high school students in the context of the ongoing pandemic and beyond. The study concluded that the digitalisation process has improved after the pandemic.

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Correspondence to Bekim Fetaji .

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Fetaji, M., Ali, M., Fetaji, B., Ebibi, M. (2024). Digitalisation Transformation in High Schools: Analysis of the COVID-19 Pandemic’s Accelerating Impact. In: Miraz, M.H., Southall, G., Ali, M., Ware, A. (eds) Emerging Technologies in Computing. iCETiC 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 538. Springer, Cham. https://doi.org/10.1007/978-3-031-50215-6_7

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  • DOI: https://doi.org/10.1007/978-3-031-50215-6_7

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