Inteligencia artificial aplicada a las estrategias de enseñanza, aprendizaje e investigación educativa: revisión bibliográfica

Context: Intelligent systems have transformed educational processes globally, leading to significant changes in the development of competencies. Objective: To analyze artificial intelligence tools applied to teaching, learning, and educational research strategies through a bibliographic review of scientific literature covering the 2020-2025 period. Method: A qualitative study using a narrative, document-based bibliographic design; the technique employed was thematic content analysis, utilizing an interpretive categorization matrix as an instrument. A total of 33 studies indexed in Scielo, Dialnet, and Scopus, published between 2020 and 2025, were identified. Results: It is evident that 45% of the studies focused on ChatGPT, which facilitated content and feedback; 24% on intelligent tutoring systems for personalizing learning; and 18% on gamification incorporating artificial intelligence, which showed an increase in motivation. Overall, 76% of the studies reported improvements in personalized learning. Furthermore, it strengthens research competencies when supported by appropriate pedagogical mediation. Conclusion: Artificial intelligence optimizes the personalization of learning and bolsters research competencies, although ethical and equity-related challenges remain.