Contributing factors for student perception to use e-learning systems

RAGAD M TAWAFAK; IBRAHIM YAUSSEF ALYOUSSEF; WALEED MUGAHED AL- RAHMI; SOHAIL IQBAL MALIK

Author(s)

RAGAD M TAWAFAK Information Technology Department, Al-Buraimi University College, Oman.

IBRAHIM YAUSSEF ALYOUSSEF Faculty of Education, Education Technology Department, King Faisal University, Alahsa 31982, Saudi Arabia

WALEED MUGAHED AL- RAHMI Faculty of Social Sciences & Humanities, School of Education, Universiti Teknologi Malaysia, UTM, 81310, Skudai, Johor, Malaysia; Self-Development Skills Department, College of Common First Year, King Saud University, Riyadh 11451, Saudi Arabia.

SOHAIL IQBAL MALIK Information Technology Department, Al-Buraimi University College, Oman.

Abstract

E-learning is considered an effective approach within higher education institutions. However, e-learning is faced with several problems such as e-learning engagement challenges, and limited types of developed models used that affect students' continuity use of e-learning. This research argues how the learning takes place; the conceptual acceptance model construction factors needed for contributing factors. The deployment of factors includes the support assessment, behaviour intention, and student perceptions that elearning systems validate learners' learning outcomes such as effectiveness, academic performance, student satisfaction, and continuity to use. This study aims to find the contributing factors that affect the continuity to use e-learning systems. The model was developed of 11 construction relationships tested by the PLSSEM program. A survey was constructed and distributed among 95 participants from Al-Buraimi University College, Oman (BUC). The research mentioned all hypotheses with significant remarks that supported the proposed model impact. This research combined two e-learning systems TAM and ECT models for e-learning system continuity.

Publication Details

Page(s) 2040-2050

DOI DOI not available

Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 7, Year: 2022

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Keywords

E-learning, TAM, Contributing factors, PLS-SEM, ECT