Educational Revolution: Bibliometric Analysis of the Advancement of Artificial Intelligence in Education

Bellido-García R.; Venturo-Orbegoso C.; Huaranga-Charapaqui J.; Sotomayor-Concepción M.; Rejas-Borjas L.G. · International Journal of Engineering Trends and Technology (2024) · DOI: 10.14445/22315381/ijett-v72i6p136

Resumen

In recent years, the adoption of Artificial Intelligence (AI) in education has grown significantly, providing innovative and personalized solutions. This paper offers a bibliometric analysis of the progress of AI in education from 2015 to 2023. The Scopus database was used to collect a total of 5,603 documents for this evaluation. The methodology included the use of the VOSviewer software and the bibliometrix package using the R language to examine publication trends, keyword networks, and identify the most productive countries, along with other relevant factors. The results highlight the predominant influence of various academic journals and institutions in research related to AI in education. In addition, countries such as China and the United States dominate research in this field, and the English language is the main language used to disseminate knowledge in the field studied. Similarly, emerging applications such as chatbots, adaptive learning systems, and educational strategy formulation systems, among others, demonstrate the diverse applications of AI in education. These findings consolidate the current state of research and provide a solid foundation for informed decisions aimed at facilitating the effective integration of AI into the 21st century educational landscape. In conclusion, this study contributes significantly to the understanding of trends and developments in the convergence of AI and education, providing valuable information for future research and strategic decisions in the contemporary educational field.

Instituciones: Universidad Nacional Mayor de San Marcos; Universidad Nacional Federico Villarreal; Universidad César Vallejo