Artificial Intelligence in Education: Proposal for an Integrated Teaching Methodology

Abstract

The study analyzed the incorporation of artificial intelligence in education, proposing an innovative methodology. A documentary review was conducted to support the redefinition of the teacher's role and improve teaching. The objective of this research was to propose a new teaching methodology that integrates artificial intelligence, redefines the teacher's role, and leverages technological advantages to enhance the teaching-learning process. A structured teaching methodology was proposed in five phases: personalized diagnosis, learning pathway design, implementation of adaptive resources, monitoring and feedback, and continuous evaluation. Artificial intelligence enables personalized teaching, optimizes learning processes, and generates adaptive materials. AI facilitates learning analytics and real-time adjustments, transforming traditional education into a dynamic, student-centered model. It is concluded that optimizing the teaching-learning process through AI is possible and constitutes a necessity in the current educational context, promoting efficient, accessible, and student-centered learning.