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A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions

Resumen

One of the main challenges in higher education management is the complexity of resource optimization and increasing volumes of data, which limits the efficiency and accuracy of decision-making. The application of artificial intelligence can address these issues. The present study aims to identify the key trends, knowledge gaps, and opportunities for further research into the economic effects of using artificial intelligence and ChatGPT tools in higher education. For this purpose, a systematic literature review was conducted to identify and screen the scientific articles related to the topic of this study indexed in Web of Science and Scopus from 1986 to 2024. A total of 234 articles were selected, all demonstrating positive growth both in scholarly output and citation count. The study identified the key contributors to scientific research on this topic by region (the United States, China, and India). It concluded that the relevant research centers are still at an early stage of their development. Based on bibliometric clusters formed by co-occurrence relations, three main areas of research were defined: 1) artificial intelligence in education for decision-making; 2) process automation and digital transformation in educational institutions; 3) artificial intelligence technologies and their application in education. The study highlights the main areas of economic effects of artificial intelligence and ChatGPT tools in higher education, including reducing administrative costs, saving time for teachers and students, and improving the quality and accessibility of educational process. © 2025 LLC CPC Business Perspectives. All rights reserved.
https://doi.org/10.1093/bioinformatics/btae420
Assessing Citation Integrity in Biomedical Publications: Corpus Annotation and NLP Models
2024
gold
https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btae420/58342072/btae420.pdf
Maria Janina Sarol; Shufan Ming; Shruthan Radhakrishna; Jodi Schneider; Halil Kilicoglu
Informatics Programs, University of Illinois Urbana-Champaign , Champaign, IL 61820, United States; School of Information Sciences, University of Illinois Urbana-Champaign , Champaign, IL 61820, United States; Department of Computer Science, University of Illinois Urbana-Champaign , Champaign, IL 61801, United States
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