Abstract
The primary questions addressed in this paper are the following: what are the factors that affect students’ adoption of an e-learning system and what are the relationships among these factors? 
 
 This paper investigates and identifies some of the major factors affecting students’ adoption of an e-learning system in a university in Jordan. E-learning adoption is approached from the information systems acceptance point of view. This suggests that a prior condition for learning effectively using e-learning systems is that students must actually use them. Thus, a greater knowledge of the factors that affect IT adoption and their interrelationships is a pre-cursor to a better understanding of student acceptance of e-learning systems. In turn, this will help and guide those who develop, implement, and deliver e-learning systems. 
 
 In this study, an extended version of the Technology Acceptance Model (TAM) was developed to investigate the underlying factors that influence students’ decisions to use an e-learning system. The TAM was populated using data gathered from a survey of 486 undergraduate students using the Moodle based e-learning system at the Arab Open University. The model was estimated using Structural Equation Modelling (SEM). A path model was developed to analyze the relationships between the factors to explain students’ adoption of the e-learning system. Whilst findings support existing literature about prior experience affecting perceptions, they also point to surprising group effects, which may merit future exploration.
Highlights
In educational institutions and in work life, the question of how to utilise modern information and communication technologies for learning purposes is Looking under the Bonnet: Factors Affecting Student Adoption of E-Learning Systems in Jordan Abbad, Morris, and de Nahlik important
This paper develops an extended version of the Technology Acceptance Model (TAM) to investigate factors that influence a student‟s decision to use an e-learning management system
A majority of studies using the TAM have relied on survey methodology for data collection
Summary
In educational institutions (e.g., high schools, universities, etc.) and in work life, the question of how to utilise modern information and communication technologies for learning purposes is Looking under the Bonnet: Factors Affecting Student Adoption of E-Learning Systems in Jordan Abbad, Morris, and de Nahlik important. E-learning in its broadest sense refers to any learning that is electronically enabled. In a slightly narrower sense, it is learning that is enabled by the application of digital technologies. It becomes any learning that is Web-based or Internet-enabled. Many higher education institutions adopt Web-based learning systems for their e-learning courses. There is a limited empirical examination of the factors underlying student adoption of Web-based learning systems (Ngai, Poon, & Chan, 2007). Successful implementation of a system and adoption by learners requires a solid understanding of user acceptance processes and ways of persuading students to engage with these technologies (Saadé & Bahli, 2005)
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