Systematic Review: Artificial Intelligence (AI) in Education 4.0

Juri Evelyn Nuñez Portilla, Universidad Estatal de Milagro
Juliana Karina Zapa Cedeño, Universidad Estatal de Milagro
Gabriel Omar León Jácome, Universidad Estatal de Milagro
Lisset Alexandra Manzano Gallegos, Universidad Estatal de Milagro

https://doi.org/10.9743/JEO.2025.22.3.13

Abstract

The impact of artificial intelligence (AI) in the educational field highlights its growing significance in transforming teaching and learning processes. AI has garnered attention in education, raising the need to investigate its intersection with current educational methods. The study aims to conduct a systematic literature review to understand how AI is influencing Education 4.0 by focusing on its ability to personalize learning and improve administrative efficiency. The methodology employed is based on the PRISMA process, where 528 documents were collected from various databases, of which 25 relevant articles were selected after a rigorous exclusion and evaluation process. The results indicate that AI enables personalized learning that adapts to the individual needs of students, which can increase their motivation and academic performance. However, challenges such as data privacy and equity in access to technology were also identified. In conclusion, the study emphasizes that the integration of AI into education has the potential to revolutionize teaching methods, but it is crucial to address the ethical and equity challenges that arise. The study underscores the need for collaboration among researchers, educators, and policymakers to ensure the effective and responsible implementation of AI in the educational field.

Keywords: artificial intelligence, Education 4.0, PRISMA, systematic review, learning.