从文献计量学的角度看未来:人工智能如何继续改变教育机构

IF 1.5 Q3 MANAGEMENT
Feda Yousef Jeries Easouh, Thelal Eqab Oweis, Hanada Ahmad Makahleh
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引用次数: 0

摘要

背景:这篇广泛的分析报告利用 1,480 篇《科学网》(Web of Science)研究出版物对教育领域人工智能不断变化的环境进行了研究。目的是绘制学术图景,突出重要主题,识别著名作者、国家和文献,以便今后对这一不断扩展的主题进行研究。目标:本研究旨在探索人工智能对教育的影响,并找出可能为未来研究提供参考的模式和见解。方法:采用文献计量学和内容分析法从科学网核心藏书中仔细提取数据。为确保完整性和相关性,我们选取了 2008 年至 2023 年的 1,480 篇同行评审论文。结果:研究确定了六个研究集群:人工智能伦理与创新、教学系统、学习体验、通过人工智能提高教育绩效、教育中的可持续发展目标以及人工智能、大数据与教育。在来自 37 个不同国家的 107 所大学、310 个关键词和 160 位作者的帮助下,这些集群成为各自领域中蓬勃发展的 "孤岛"。意义:本研究有助于研究人员、教育工作者和政策制定者探索文献并确定前瞻性研究领域。它使利益相关者能够引领教育领域的人工智能走向更加包容和开明的未来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Bibliometric Lens on the Future: How AI continues to transform education institutions
BACKGROUND: This extensive analysis examines the changing environment of AI in education using 1,480 Web of Science research publications. The goal is to map the academic landscape, highlight significant topics, and identify notable authors, nations, and documents to enable future study in this expanding subject. OBJECTIVE: The study seeks to explore AI’s influence on education and identify patterns and insights that might inform future research. METHODS: Bibliometric and content analytics are used to carefully extract data from the Web of Science Core Collection. To ensure completeness and relevance, 1,480 peer-reviewed papers from 2008 to 2023 were selected. RESULTS: The study identified six research clusters: AI Ethics and Innovation, Teaching Systems, Learning Experiences, Education Performance Enhancement via AI, Sustainable Development Goals in Education, and AI, Big Data, and Education. With the help of 107 universities, 310 keywords, and 160 authors from 37 different countries, these clusters are thriving islands in their respective fields. IMPLICATIONS: This study helps researchers, educators, and policymakers explore the literature and identify prospective research areas. It allows stakeholders to lead AI in education towards a more inclusive and enlightened future.
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来源期刊
CiteScore
3.50
自引率
30.40%
发文量
56
期刊介绍: Human Systems Management (HSM) is an interdisciplinary, international, refereed journal, offering applicable, scientific insight into reinventing business, civil-society and government organizations, through the sustainable development of high-technology processes and structures. Adhering to the highest civic, ethical and moral ideals, the journal promotes the emerging anthropocentric-sociocentric paradigm of societal human systems, rather than the pervasively mechanistic and organismic or medieval corporatism views of humankind’s recent past. Intentionality and scope Their management autonomy, capability, culture, mastery, processes, purposefulness, skills, structure and technology often determine which human organizations truly are societal systems, while others are not. HSM seeks to help transform human organizations into true societal systems, free of bureaucratic ills, along two essential, inseparable, yet complementary aspects of modern management: a) the management of societal human systems: the mastery, science and technology of management, including self management, striving for strategic, business and functional effectiveness, efficiency and productivity, through high quality and high technology, i.e., the capabilities and competences that only truly societal human systems create and use, and b) the societal human systems management: the enabling of human beings to form creative teams, communities and societies through autonomy, mastery and purposefulness, on both a personal and a collegial level, while catalyzing people’s creative, inventive and innovative potential, as people participate in corporate-, business- and functional-level decisions. Appreciably large is the gulf between the innovative ideas that world-class societal human systems create and use, and what some conventional business journals offer. The latter often pertain to already refuted practices, while outmoded business-school curricula reinforce this problematic situation.
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