With the advent of the Internet and Coronavirus outbreak, e-learning environments and web-based learning, there has been a considerable growth and development in recent months and years, but this type of education faces many challenges. The most important of these chall
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With the advent of the Internet and Coronavirus outbreak, e-learning environments and web-based learning, there has been a considerable growth and development in recent months and years, but this type of education faces many challenges. The most important of these challenges are the use of learning patterns, modeling student behavior, evaluating student support and feedback, curriculum planning, sequencing, and teacher support. One way to deal with these challenges is to find effective factors on accepting and improving the quality of education in learning systems, discovering rules and educational patterns, and using them to predict future outcomes. The aim of this study is to identify factors affecting the adoption of e-learning, based on the technology acceptance model. For this purpose, studies in this area were investigated. Variables such as computer self-efficacy, quality of content, system support, user interface design, technology tools and computer anxiety as factors affecting adoption of e-learning system were extracted. According to them, the conceptual model of this research was developed. In order to evaluate the model and relationships between variables, a questionnaire was provided to the users of e-learning system in Qazvin University of Medical Sciences. The results of data analysis by using structural equation modeling have approved authenticity of all hypotheses excluding the impact of technology tools on the acceptance of e-learning system. Findings of this research can help educational managers of university and related instructors with this system to encourage students making optimum use of the system by providing the necessary fields for the imposition of effective factors.
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