The use of artificial intelligence (AI) in education has emerged as a topic of growing importance as educational institutions seek to innovate and enhance their pedagogical practices. This study aims to explore how AI can reconfigure learning processes and transform traditional educational practices. In a context where personalized learning is vital, AI stands out as a powerful tool to meet the individual needs of students, promoting the development of essential 21st-century skills. The bibliometric analysis conducted reveals a significant increase in academic interest in the application of AI in education, especially in the last five years, indicating an awakening to technological possibilities. The main areas of investigation include personalized learning, intelligent tutoring systems, and educational data analysis, known as learning analytics, which allow real-time monitoring of student progress. AI offers immediate feedback, adapting to each student’s learning pace, improving academic performance, and reducing educational inequalities. However, for this transformation to occur effectively, it is crucial that educational institutions integrate these technological solutions into their pedagogical approaches. However, the research points to significant gaps, such as unequal access to AI technologies, limiting the democratization of benefits. The lack of infrastructure and specialized teacher training hinders effective implementation. Additionally, there is a shortage of studies focused on the development of socio-emotional skills. Therefore, research must advance in the search for new technologies, ensuring an equitable and enriching learning environment. The future of education, transformed by AI, promises to be a space where all students can thrive, developing skills to face the challenges of the 21st century.
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