Factors Affecting Perceived Learning Satisfaction in Distance Education in Turkey

IF 0.4 Q4 EDUCATION & EDUCATIONAL RESEARCH Cukurova University Faculty of Education Journal Pub Date : 2022-12-30 DOI:10.14812/cufej.1177360
Hakan Eygü, Seda Eygü
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引用次数: 1

Abstract

The study aims to determine which variables to be focused on by viewing the relationship between the variables of distance education to increase perceived learning satisfaction. The results of this study were obtained with the measurement model established with the data collected from 5574 state university students in Turkey. Within this context, it is thought to contribute to the literature. Another unique point in this study is; for the reliability of the results, it was expected that the deficiencies of the distance education infrastructure in universities would be eliminated during the pandemic process, and it was made with the help of a questionnaire applied to university students who received distance education after the improved infrastructure services. The structural equation model used by many disciplines was applied to investigate the significance of the relationship between the variables. As a result of the method applied, it was determined that there was a significant relationship between the technology, materials, support services, measurement and evaluation factors and the perception of distance learning satisfaction of the students. In addition, a significant relationship was found between the material and technology variables and the support services variable. No significant relationship was found between support services and measurement and evaluation variables. There was also no significant relationship in the model in which support services were established as a mediator variable. In this study, distance education policies on distance education services have been proposed, considering the relationships between the model established and the variables.
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影响土耳其远程教育学习满意度的因素
本研究旨在通过观察远程教育变量之间的关系来确定应关注哪些变量,以提高感知的学习满意度。这项研究的结果是用土耳其5574名州立大学学生的数据建立的测量模型得出的。在这种背景下,它被认为对文学有贡献。本研究的另一个独特之处在于:;就结果的可靠性而言,预计大学远程教育基础设施的缺陷将在疫情期间消除,这是在基础设施服务改善后对接受远程教育的大学生进行问卷调查的帮助下做出的。许多学科使用的结构方程模型被用于研究变量之间关系的重要性。该方法的应用结果表明,技术、材料、支持服务、测量和评估因素与学生的远程学习满意度之间存在显著关系。此外,材料和技术变量与支助服务变量之间存在显著关系。在支助服务与衡量和评价变量之间没有发现显著的关系。在将支持服务作为中介变量的模型中也没有显著的关系。在本研究中,考虑到所建立的模型与变量之间的关系,提出了远程教育服务的远程教育政策。
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来源期刊
Cukurova University Faculty of Education Journal
Cukurova University Faculty of Education Journal EDUCATION & EDUCATIONAL RESEARCH-
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