Determinant Factors Affecting the Web-based Training Acceptance by Health Students, Applying UTAUT Model

Asgar Sattari, Mohammadhiwa Abdekhoda, Vahideh Zarea Gavgani

Abstract


Nowadays Web-based training (WBT) is the most advanced training methods. With the increasing use of modern methods of training in universities necessity of identification of the factors influencing the acceptance of web-based training becomes more obvious. This study examines the factors influencing the acceptance of web-based training by students. This study was cross-sectional survey and conducted from August to December 2016. As sample, 239 students of Tabriz University of Medical Sciences (TUOMS) were asked to participate in this study and fill the corresponding questionnaires. The unified theory of acceptance and use of technology (UTAUT) was applied to investigate and explain the acceptance of E-learning. The data were analyzed by SPSS v.16. Findings revealed that the web- based training acceptance was directly influenced by performance expectancy, effort expectancy, facilitated condition, and attitude toward technology, self-efficacy, and anxiety. In contrast the impact of the social influences hadn’t been observed on behavior indentation. The findings indicated that UTAUT model explains about 58% of the variance for adoption of WBT. The study not only provides an indicator of students’ acceptance of E-learning, but also recognizes the important factors that would contribute to its successful use. The simulating or disappointing factors effecting use of the E-learning systems in university have been understood in a well-organized way according to the received results. Decision makers should apply these conclusions to improve strategies to align users’ expectations with use of technology use learning.

Keywords


Web based training, Electronic learning, Health education, Student, Unified Theory of Acceptance and Use of Technology (UTAUT)

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Copyright (c) 2017 asgar sattari, Mohammadhiwa Abdekhoda, Vahideh Zarea Gavgani


International Journal of Emerging Technologies in Learning. ISSN: 1863-0383
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