Technological applications of automation and artificial intelligence in education: A systematic review

Marrujo-Ingunza C.; Paico-Campos M. · Multidisciplinary Reviews (2026) · DOI: 10.31893/multirev.2026365

Resumen

Artificial Intelligence (AI) and automation have emerged as transformative forces within the educational landscape, reshaping how learning processes, institutional management, and pedagogical practices are conceived and implemented. The objective of this study is to provide a comprehensive understanding of the applications of these technologies in education through a systematic review based on the PRISMA methodology, complemented by a detailed bibliometric analysis. A total of 73 articles were selected from the Scopus, Web of Science, IEEE Xplore, and JSTOR databases, classified into four main categories: AI technologies for educators and intelligent tutoring systems, automation of academic and administrative processes, AI-driven learning analytics and personalization, and emerging trends related to ethics, data protection, and automated decision-making. The results indicate a consistent increase in scientific production since 2020, with a clear concentration of research originating from China, the United States, and India. This trend highlights the growing global relevance of AI and automation as tools for improving educational efficiency, supporting personalized learning experiences, and strengthening evidence-based pedagogical decisions. Despite the progress made, several gaps remain, such as the limited participation of regions with lower technological development, the scarcity of longitudinal or comparative studies, and the urgent need for robust ethical and regulatory frameworks that ensure data privacy and educational equity. Future research should focus on developing adaptive and inclusive AI models, encouraging international collaboration networks, and evaluating the sustained impact of automation in real educational environments. Overall, this study offers an integrated overview of the evolution of knowledge in the field and provides a foundation for advancing the responsible, equitable, and sustainable integration of AI in education.

Instituciones: Universidad de Ciencias y Humanidades