ISSN-e: 2448-6957
Generative Artificial Intelligence in Teaching-Learning Processes: Challenges and Opportunities
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Keywords

Learning
Teaching
Generative Artificial Intelligence
Educational Technology
Challenges in education

How to Cite

Martinez Bonilla, I. (2025). Generative Artificial Intelligence in Teaching-Learning Processes: Challenges and Opportunities. Psicología Educativa, 13, 1–8. https://doi.org/10.22201/fpsic.24486957e.2025.13.146

Abstract

The article analyzes the impact of generative artificial intelligence (AI) on teaching and learning processes, highlighting its rapid growth and the transformations it has brought to the educational field. Based on a documentary methodology, scientific articles, international reports, and national and international case studies were reviewed with the aim of identifying the main challenges, opportunities, and guidelines for the ethical and pedagogical integration of AI in education. Topics explored include the curricular integration of AI, its impact on teaching practices, personalized learning, and the ethical challenges related to its use. Implementation experiences in countries such as China, Uruguay, Brazil, South Korea, and Mexico are documented. The results show that generative AI offers benefits such as task automation, increased student motivation, and the creation of adaptive teaching materials, but also presents risks such as the loss of critical skills or unreflective use. The conclusions emphasize that in order to harness the potential of AI, it is necessary to establish clear regulations, provide ongoing teacher training, and promote its responsible use. Additionally, the article proposes actions such as institutional regulations, continuous professional development for educators, and interdisciplinary committees to oversee its implementation.

https://doi.org/10.22201/fpsic.24486957e.2025.13.146
PDF (Español (España))

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Copyright (c) 2025 Universidad Nacional Autónoma de México

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