Bibliometric Analysis of Higher Education Restructuring

Fatma Hümeyra YÜCEL, Yasemin KUZU
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Abstract

The spread of competitive elements and the well-being of human capital increase productivity capacities in scientific content. Research and development activities are prioritized in higher education, international trends and modern paradigms are taken into consideration. In the study, a visual map of the studies prepared on the restructuring of higher education on a global scale was prepared and it was aimed to determine the trends in the literature with bibliometric analysis. Between 2002 and 2022, a total of 585 articles in the Scopus and WoS database were identified and analyzed by keyword analysis, cooperation network analysis, social network analysis methods. The most commonly used keywords were "higher education, education, university, restructuring and neoliberalism", the largest clusters defined in the network were "higher education, humanities, education policy", and the smallest cluster was "higher education policy". Among these clusters, the largest cluster is the "higher education" cluster, the average year of the publications cited jointly is 2011, and the newest issues are "humanities and higher education policy". According to the timeline map, there was a focus on the keywords "higher education, curriculum, neoliberalism, China, student, administration". In the early days, the focus was on "higher education, curriculum", then "higher education policy, innovation, management, organizational change, university reform, savings", and after 2020, the keywords "Covid 19, pandemic, distance education, student". The keywords with the most citation explosions were initially "Eurasia", in the middle "management, higher education, student", and after 2020, "student, Covid 19, human". The highest explosion of citations occurred from the word "Eurasia" between 2005 and 2009.
高等教育结构调整的文献计量分析
竞争因素的传播和人力资本的福祉提高了科学内容的生产力能力。高等教育优先考虑研究和发展活动,并考虑到国际趋势和现代范例。在这项研究中,编制了一份关于在全球范围内改组高等教育的研究的可视化地图,其目的是利用文献计量学分析确定文献的趋势。采用关键词分析、合作网络分析、社会网络分析等方法,对2002 - 2022年Scopus和WoS数据库中共585篇文章进行识别和分析。最常使用的关键词是“高等教育、教育、大学、重组和新自由主义”,网络中定义的最大集群是“高等教育、人文学科、教育政策”,最小集群是“高等教育政策”。其中,“高等教育”集群是最大的集群,共同被引出版物的平均年份为2011年,最新的期刊是“人文与高等教育政策”。根据时间轴地图,关键词是“高等教育、课程、新自由主义、中国、学生、管理”。早期的重点是“高等教育、课程”,然后是“高等教育政策、创新、管理、组织变革、大学改革、储蓄”,2020年后的关键词是“新冠肺炎、大流行、远程教育、学生”。被引爆炸次数最多的关键词最初是“欧亚大陆”,中间是“管理、高等教育、学生”,2020年之后是“学生、新冠肺炎、人类”。2005年至2009年间,“欧亚”一词的引用量激增。
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