Vol.14, No.4, November 2025.                                                                                                                                                                          ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

TEM Journal

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science

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

Victor Manuel Valdiviezo Sir, Julio Arévalo Reátegui, Rosas Carranza Guevara, Adolfo Cacho Revilla, Carlos Vega Valqui

© 2025 Victor Manuel Valdiviezo Sir, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

Citation Information: TEM Journal. Volume 14, Issue 4, Pages 3794-3802, ISSN 2217-8309, DOI: 10.18421/TEM144-82, November 2025.

Received: 27 January 2025.
Revised: 20 August 2025.
Accepted: 04 October 2025.
Published: 27 November 2025.

Abstract:

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.

Keywords – Artificial intelligence, higher education, educational quality, learning, systematic literature review.

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