Artificial Intelligence in Educational Process Management: A Systematic Review of Approaches, Models, and Emerging Challenges in the Global Education System

Abstract

The objective of this study is to analyze the impact of artificial intelligence on the management of educational processes based on a systematic review of recent scientific literature. The research was conducted using a qualitative approach, specifically a systematic review with a non-experimental design, employing the PRISMA method for study selection. Databases such as Scopus, Web of Science, SciELO, Dialnet, and Google Scholar were consulted, initially identifying more than 300 articles, from which 30 studies published between 2022 and 2025 were selected based on inclusion criteria and scientific quality. The results show that artificial intelligence significantly contributes to the optimization of educational management by facilitating data-driven decision-making, improving institutional planning, and promoting personalized learning through tools such as learning analytics and intelligent tutoring systems. Additionally, benefits in institutional efficiency and educational inclusion are identified. However, challenges related to the digital divide, teacher training, and ethical issues such as data privacy are also acknowledged. It is concluded that artificial intelligence represents a strategic opportunity to strengthen educational quality, provided that its implementation is carried out in an ethical, context-specific manner and oriented toward the holistic development of students.