Quo Vadis, University? A Roadmap for AI and Ethics in Higher Education

IF 2.4 Q1 EDUCATION & EDUCATIONAL RESEARCH Electronic Journal of e-Learning Pub Date : 2024-07-24 DOI:10.34190/ejel.22.6.3267
Fernando Castelló-Sirvent, Vanessa Roger-Monzó, Ricardo Gouveia-Rodrigues
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Abstract

In recent years, academic interest in new developments in Artificial Intelligence (AI) and its ethical challenges in higher education has increased. The new emerging technologies that have become popular among the university community in recent times require an exhaustive study to evaluate their impact on academic integrity and plagiarism. The main stakeholders in higher education (SoTL, educational authorities, and policymakers) must understand the new trends and the most relevant studies to have action guides that preserve academic integrity standards in deploying AI in the university. This research analyzes scientific articles published in high-impact journals indexed in the Journal Citation Reports (JCR) (n=254) and carries out a bibliometric study using VOSviewer 1.6.18 and WordStat 2023.1. The Normalized Impact per Document (NID) and per Year (NIY) are studied, and four thematic groups and twelve main themes are identified and discussed, allowing the internal research structure of this field of study to be determined. Based on the findings, a roadmap for implementing AI in higher education is proposed, preserving ethical standards and based on three levels (Micro, Meso, Macro). This study offers practical implications for SoTL, academic authorities, and policymakers. Furthermore, the evidence found allows editors of high-impact journals to advise on unclosed gaps and new research trends and new research trends in the area.
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大学,何去何从?高等教育中的人工智能与伦理路线图
近年来,学术界对人工智能(AI)的新发展及其在高等教育中的伦理挑战越来越感兴趣。对于近来在大学界流行的新兴技术,需要进行详尽的研究,以评估其对学术诚信和剽窃行为的影响。高等教育的主要利益相关者(SoTL、教育当局和政策制定者)必须了解新的趋势和最相关的研究,以便在大学部署人工智能时有行动指南来维护学术诚信标准。本研究分析了发表在《期刊引文报告》(JCR)收录的高影响力期刊上的科学文章(n=254),并使用 VOSviewer 1.6.18 和 WordStat 2023.1 进行了文献计量学研究。研究了每篇文献的归一化影响(NID)和每年的归一化影响(NIY),确定并讨论了四个专题组和十二个主要专题,从而确定了该研究领域的内部研究结构。在研究结果的基础上,提出了在高等教育中实施人工智能的路线图,该路线图以三个层次(微观、中观、宏观)为基础,并保留了道德标准。本研究为 SoTL、学术权威和政策制定者提供了实际意义。此外,所发现的证据还能让高影响力期刊的编辑们就该领域尚未填补的空白、新的研究趋势和新的研究动向提出建议。
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来源期刊
Electronic Journal of e-Learning
Electronic Journal of e-Learning EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
5.90
自引率
18.20%
发文量
34
审稿时长
20 weeks
期刊最新文献
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