Artificial Intelligence-Based Management of Educational Processes in a Public Educational Institution in Lima, 2025

Abstract

The integration of artificial intelligence into the educational sphere represents a significant transformation in institutional, pedagogical, and administrative management. The objective of the study was to analyze how artificial intelligence contributes to improving the management of educational processes in a public institution in Lima in 2025. It was conducted using a qualitative approach, an interpretive paradigm, and a phenomenological design. Eight key informants (administrators, teachers, students, and parents) participated, selected using purposive criteria. The technique used was the semi-structured interview, and the analysis was performed using thematic coding assisted by Atlas.ti. The results show that artificial intelligence optimizes decision-making, automates administrative processes, and promotes personalized learning. However, limitations related to insufficient teacher training, technological gaps, and ethical challenges were identified. It is concluded that the effective implementation of artificial intelligence depends on continuous training, institutional leadership, and the establishment of clear educational policies, constituting a key factor for improving educational quality.