An empirical investigation into examination of factors influencing university students' behavior towards elearning acceptance using SEM approach

被引:38
作者
Kurdi B.A. [1 ]
Alshurideh M. [2 ,3 ]
Salloum S.A. [2 ,4 ]
Obeidat Z.M. [2 ]
Al-dweeri R.M. [2 ]
机构
[1] Amman Arab University, Amman
[2] University of Sharjah, Sharjah
[3] The University of Jordan, Amman
[4] The British University in Dubai, Dubai
关键词
Computer anxiety; Computer self-efficacy; Enjoyment; Perceived ease of use; Perceived usefulness; Social influence; Student's intention to use E-learning; System interactivity; Technical support; Technology acceptance model (TAM); The structural equation modeling (SEM); United arab emirates; University students;
D O I
10.3991/ijim.v14i02.11115
中图分类号
学科分类号
摘要
There are several reasons why most of the universities implement E-learning. The extent of E-learning programs is being offered by the higher educational institutes in the UAE are evidently expanding. However, very few studies have been carried out to validate the process of how E-learning is being accepted and employed by university students. The study involved a sample of 365 university students. To describe the acceptance process, the Structural Equation Modeling (SEM) method was used. On the basis of the technology acceptance model (TAM), the standard structural model that involved E-learning Computer Self-Efficacy, Social Influence, Enjoyment, System Interactivity, Computer Anxiety, Technical support, Perceived Usefulness, Perceived Ease of Use, Attitude, and Behavioral Intention to Use e-learning, was developed. The findings showed that TAM served as a suitable theoretical tool to comprehend the acceptance of e-learning by users. The most critical construct to explain the causal process employed in the model was E-learning Computer Self-Efficacy, Social Influence, Enjoyment, System Interactivity, Computer Anxiety, Technical support, Perceived Usefulness, Perceived Ease of Use, Attitude, followed by Behavioral Intention to Use e-learning. Practical implications are offered by the outcomes for decision makers, professionals and developers in how effective E-learning systems can be implemented properly. © 2020 International Association of Online Engineering.
引用
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页码:19 / 41
页数:22
相关论文
共 102 条
[1]  
Vidanagama D.U., Acceptance of E-Learning among Undergraduates of Computing Degrees in Sri Lanka,, Int. J. Mod. Educ. Comput. Sci, 8, 4, (2016)
[2]  
Priyangika D.S., Chiran C., IT students' perceptions on e-learning: a preliminary survey at University of Colombo,, (2012)
[3]  
Davis F.D., Perceived usefulness, perceived ease of use, and user acceptance of information technology,, MIS Q, pp. 319-340, (1989)
[4]  
Venkatesh V., Bala H., Technology acceptance model 3 and a research agenda on interventions,, Decis. Sci, 39, 2, pp. 273-315, (2008)
[5]  
Proffitt L.N., A study of the influence of learner readiness on academic success and student perceptions of online learning,, A Diss. Present. Partial fulfilment Requir. degree Dr. Philos. Capella Univ, (2008)
[6]  
Shen D., Laffey J., Lin Y., Huang X., Social influence for perceived usefulness and ease-of-use of course delivery systems,, J. Interact. Online Learn, 5, 3, pp. 270- 282, (2006)
[7]  
Farahat T., Applying the technology acceptance model to online learning in the Egyptian universities,, Procedia-Social Behav. Sci, 64, pp. 95-104, (2012)
[8]  
Alshurideh M., The Factors Predicting Students' Satisfaction with Universities' Healthcare Clinics' Services: A Case-Study from the Jordanian Higher Education Sector,, Dirasat Adm. Sci, 41, 2, pp. 451-464, (2014)
[9]  
Alshurideh M., Nicholson M., Xiao S., The Effect of Previous Experience on Mobile Subscribers' Repeat Purchase Behaviour,, Eur. J. Soc. Sci., 30, 3, pp. 366-376, (2012)
[10]  
Sumak B., Hericko M., Pusnik M., Polancic G., Factors affecting acceptance and use of Moodle: An empirical study based on TAM,, Informatica, 35, 1, (2011)