Extending the Technology Acceptance Model to Understand Students’ Use of Learning Management Systems in Saudi Higher Education

• Published in: International journal of emerging technologies in learning 2019-01, Vol.14 (3), p.4
• Main Authors: Binyamin, Sami Saeed, Rutter, Malcolm, Smith, Sally
• Format: Article
• Language: English
• Subjects: Data Analysis; Electronic Learning; Higher education; Learning management systems; Online instruction; Students; Technology Acceptance Model
• ISSN: 1863-0383; 1863-0383
• DOI: 10.3991/ijet.v14i03.9732

Although learning management systems (LMS) have been widely adopted by higher educational institutions in many countries, they are considered an emerging technology in Saudi Arabia. Furthermore, research has demonstrated that the students’ use of them is not always satisfactory. This quantitative study investigated the factors that affect the students use of LMS in higher education by extending the technology acceptance model (TAM) and adapting eight external variables. Based on the probability multi-stage cluster sampling technique, online surveys were sent by email to 2000 students registered in three public universities in Saudi Arabia. 851 responses were submitted by participants, and 833 responses were used for data analysis. Using Partial Least Squares Structural Equations Modeling (PLS-SEM), the results revealed that perceived ease of use is affected by six factors (content quality, system navigation, ease of access, system interactivity, instructional assessment and system learnability). The findings confirmed that perceived usefulness has five determinants (content quality, learning support, system interactivity, instructional assessment and perceived ease of use). This research is relevant to researchers, decision makers and e-learning systems designers working to enhance students’ use of e-learning systems in higher education, in particular where there is not yet widespread adoption.