Hacia una enseñanza más adaptativa y eficiente en la educación superior: el impacto de la inteligencia artificial en la transformación de las estrategias docentes y el aprendizaje personalizado

In the field of higher education, digital transformation has led to the reconfiguration of pedagogical strategies, orienting them towards more adaptive and efficient approaches that enhance teaching and learning. In this context, artificial intelligence (AI) has established itself as a strategic resource that enables the personalization of learning through advanced systems for analyzing student performance, which adjust content and methodologies based on individual needs. The main objective of implementing artificial intelligence(AI) in higher education was to improve the quality of the educational process by personalizing learning and optimizing teaching strategies, adapting content and methodologies to the individual needs of students. In addition, it seeks to facilitate the automation of administrative and evaluative tasks, allowing teachers to focus on pedagogical interaction. The methodology of the study included an exhaustive review of the literature on the impact of artificial intelligence on education, allowing us to analyze how the integration of intelligent systems in classrooms has reorganized traditional teaching dynamics. The integration of artificial intelligence in higher education has allowed teaching strategies to be transformed, promoting more adaptive and efficient teaching. Through real-time data analysis and machine learning, AI-based platforms can identify individual student needs, adjusting content and methodologies to optimize their learning process.