Artificial Intelligence (AI) in the Mexican University Context: An Exploratory Analysis from the Researcher’s Context
Resumen
This research examines the perceptions of Mexican researchers regarding the adoption, utilization, familiarity, and perceived usefulness of AI tools in Mexican universities. Objective: We aimed to explore the potential of AI tools in both teaching and research within Mexican higher education, which is transforming teaching, learning, and research methods and practices. Methodology: The design and implementation of a survey allowed us to gather information on expectations for using AI in teaching and research activities. The results indicate that researchers are familiar with AI tools and have high satisfaction with their use, particularly in personalized or collaborative learning applications. Conclusions: This pioneering analysis for Mexico seeks to contribute to the debate on the benefits and risks of the widespread use of AI tools in higher education institutions. At the same time, it invites the academic and scientific communities to delve deeper into the implications of using AI in the higher education system and high-level research, benefiting students, teaching practices, and society as a whole.
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Derechos de autor 2025 Evelio Gerónimo Bautista, Javier Gonzalo Rodríguez Ruiz, Erika Ochoa Rosas
Esta obra está bajo licencia internacional Creative Commons Reconocimiento 4.0.
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