This article presents the results of the implementation phase of an adaptive learning system based on Artificial Intelligence (AI) within the Moodle platform, aimed at personalizing the evaluation process in higher education contexts. The research, of a mixed approach and applied nature, employed techniques such as surveys, academic performance analysis, semi-structured interviews and focus groups, to assess the effectiveness and acceptance of the system by students and teachers. The results indicate a substantial improvement in the quality of evaluations and formative feedback, with high levels of satisfaction reported by stakeholders. The AI system incorporates adaptive algorithms capable of dynamically adjusting the difficulty and content of tests, responding in real time to each student’s learning profile. This personalization fosters a more effective, student-centered pedagogical environment and contributes significantly to meaningful learning. In addition, an optimization of teaching time was evidenced, allowing for a more strategic approach to the teaching process. The implementation positions the institution as a reference in educational innovation, demonstrating that the integration of emerging technologies such as AI is not only viable, but strategic to transform contemporary virtual education.