Artificial Intelligence and Educational Quality in Higher Education: A Systematic Review

Sir V.M.V.; Reátegui J.A.; Guevara R.C.; Revilla A.C.; Valqui C.V. · TEM Journal (2025) · DOI: 10.18421/tem144-82

Resumen

This study investigates the impact of artificial intelligence on educational quality in higher education, addressing a critical need to enhance teaching and learning in public universities worldwide. The research explores how artificial intelligence transforms educational processes, focusing on challenges such as technological infrastructure and resistance to change. A systematic literature review examines the issue by analyzing 22 documents from databases including Scopus, Web of Science, EBSCO, and ProQuest, covering the period from 2002 to 2024. The method involves a comprehensive synthesis of existing studies to address questions on how artificial intelligence improves learning and the challenges it faces in implementation. Results reveal significant benefits, including enhanced student outcomes and resource optimization, alongside barriers like data privacy concerns. The broader significance lies in informing global educational policies to ensure equitable access and sustainable development. Future implications suggest the need for strategic implementation and further research to maximize artificial intelligence’s potential in shaping inclusive learning environments.

Instituciones: Universidad César Vallejo