Evaluating Digital Learning Security Model in Higher Education: UTAUT-Based Empirical Study
This research seeks to enhance privacy and data protection while preserving an effective learning environment by utilizing the UTAUT framework to analyze the adoption of a novel digital security model through protected e-learning. The research model preserves the original UTAUT constructs and items of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), and Behavioral Intention (BI), along with the supplementary constructs of Technological Knowledge (TK), Pedagogical Knowledge (PK), and Technological Pedagogical Knowledge (TPK). Data was gathered from educators, technicians, and administrators of the e-learning management system within Higher Education Institutions. The data is evaluated with SmartPLS 4 employing structural equation modeling. The results indicate that only facilitating environments significantly impact behavioral intention, corroborating the H2 hypothesis. The hypothesis testing results demonstrate that Facilitating Conditions (FC) significantly positively influence Behavioral Intention (BI). This indicates that individuals are more inclined to behave when they perceive enough external resources and support. Furthermore, Performance Expectancy (PE) significantly impacts Behavioral Intention (BI), suggesting a potential influence that requires additional examination.
Authors
- Noraida Haji Ali (ORCID: https://orcid.org/0000-0003-0762-7503)
- Aimi Dalila Roslim
- Azliza Yacob
Publication Details
- Journal
- International Journal on Advanced Science Engineering and Information Technology
- Published
- 2025-04-27
- DOI
- https://doi.org/10.18517/ijaseit.15.2.12250
- Primary Topic
- Information and Cyber Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00