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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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