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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating Digital Learning Security Model in Higher Education: UTAUT-Based Empirical Study

Noraida Haji Ali, Aimi Dalila Roslim, Azliza Yacob
International Journal on Advanced Science Engineering and Information Technology
Information and Cyber Security
article

Evaluating Digital Learning Security Model in Higher Education: UTAUT-Based Empirical Study

Noraida Haji Ali, Aimi Dalila Roslim, Azliza Yacob
article en

Abstract

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.

International Journal on Advanced Science Engineering and Information TechnologyVol. 15(2)
Openalex Percentile: Top 87%
Information and Cyber Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evaluating Digital Learning Security Model in Higher Education: UTAUT-Based Empirical Study — Noraida Haji Ali, Aimi Dalila Roslim, et al. · International Journal on Advanced Science Engineering and Information Technology (2025) | TGRS Research Map | TGRS