建立虚拟医学大学本地模式的基本因素:定性研究

A. Habibi, S. Ahmady
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引用次数: 0

摘要

背景:许多研究将“虚拟大学”定义为以学习者为中心的大学。在过去的20年里,虚拟大学的数量迅速增长,尤其是在医学领域,在线课程的数量也在不断增加。另一方面,考虑到第三个千年高等教育的挑战,考虑到伊朗伊斯兰共和国20年国家愿景以及信息和通信技术的潜力,人们比以往任何时候都更有必要转向虚拟学术教育。目标:因此,试图发现影响伊朗文化和社会层面的虚拟医学大学模式发展的主要和必要因素。此外,考虑到定性研究不足,决定通过审查伊朗虚拟医学大学领域的主观现象和举报人的经验进行定性研究,以揭示他们对影响虚拟医学大学地方模式发展的主要因素的理解。方法:采用主题内容分析法进行定性研究。采用最大强度抽样法选取7名参与者。采用半结构化访谈法收集数据,并根据Braun和Clarke的六步比较主题分析法进行分析。为了观察数据的严谨性,采用了Guba和Lincoln的四个标准。结果:7名参与者中,男性3例,女性4例。数据分析得到520个主编码、38个子分类和13个分类。根据参与者的经验,本研究中提取的四个主要主题是教育表现、技术外观、伊朗背景和机构虚拟医学教育。结论:数据分析表明,可以考虑基于学习者认知需求的课程设计以及技术对虚拟教育文化形成的影响来开发虚拟大学模式。此外,支撑传统教育体系的理论已经不能适应虚拟教育的新变化,迫切需要为虚拟教育量身定制科学理论来管理技术。
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Fundamental Factors Effective in Developing a Local Model for Virtual University of Medical Sciences: A Qualitative Study
Background: Many studies have defined the term ‘virtual university’ as a learner-centered university. Over the past 20 years, the number of virtual universities, especially in medical sciences, has grown rapidly, and the number of online curricula is constantly increasing. On the other hand, regarding the challenges of higher education in the third millennium and considering the 20-Year National Vision of the Islamic Republic of Iran and the potential of information and communication technology, the need to move towards virtual academic education is felt more than ever. Objectives: Accordingly, attempts were made to discover the main and necessary factors affecting the development of a model for virtual university of medical sciences regarding Iran's cultural and social dimensions. Moreover, considering inadequate qualitative research, it was decided to conduct a qualitative study by examining the subjective phenomena and informants’ experiences in the field of virtual university of medical sciences in Iran to reveal their understanding of the main factors affecting the development of the local model for virtual universities of medical sciences. Methods: This qualitative study adopted a thematic content analysis approach. Seven participants were selected using the maximum-intensity sampling method. The data were collected using semi-structured interviews and analyzed according to Braun and Clarke's six-step comparative thematic analysis method. To observe data rigor, Guba and Lincoln's four criteria were used. Results: Out of the seven participants, three cases were male, and four persons were female. The analysis of the data resulted in 520 primary codes, 38 subcategories, and 13 categories. According to the participants' experiences, the four main themes extracted in this study were educational manifestation, technological appearance, Iranian context, and institutional virtual medical education. Conclusions: The data analysis revealed that the virtual university model could be developed by considering curriculum design based on learners’ cognitive needs as well as the effects of technologies on the formation of virtual education culture. Moreover, theories underpinning the traditional education system are no longer responding to the new changes in virtual education, and there is an urgent need for scientific theories tailored to virtual education to manage technology.
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9
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