EMPIRICAL ANALYSIS OF A UTAUT-BASED DIGITAL LEARNING SECURITY MODEL IN HIGHER EDUCATION

Abstract

To improve privacy and data protection while maintaining an efficient learning environment, this research aims to tackle these challenges by applying the UTAUT framework to examine the acceptance of a new digital security model by using secured e-learning. The research model maintains the original UTAUT constructs and items of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC) and Behavioural Intention (BI) and the additional construct of Technological Knowledge (TK), Pedagogical Knowledge (PK) and Technological Pedagogical Knowledge (TPK). Data was collected among Higher Education Institutions educator, technician and administrator of the e-Learning management system. The data is analysed using SmartPLS 4 using structural equation modelling.  The finding shows that only facilitating conditions significantly influence behavioural intention, which supports the H2 hypothesis. The hypothesis testing results indicate that Facilitating Conditions (FC) have a significant positive effect on BI, suggesting that individuals are more likely to engage in a behaviour when they perceive sufficient external resources and support. Additionally, Performance Expectancy (PE) exhibits a marginally significant effect on BI, indicating a potential influence that warrants further investigation.