State of The Art of Scientific Literature On Generative Artificial Intelligence and Education

Abstract

Generative Artificial Intelligence (GAI) has established itself as an innovative tool in education, offering the potential to personalize teaching, automate tasks, and stimulate critical thinking. The study followed the PRISMA protocol and analyzed articles from the SCOPUS database, using Content Analysis to identify themes, methods, and gaps. Five main categories were recognized: model performance, teacher training, student engagement, academic integrity, and accessibility. Despite the advances, significant challenges persist, such as the absence of longitudinal studies, lack of specific guidelines for each discipline, little attention to diversity, and lack of better-established ethical and pedagogical frameworks. The adoption of GAI, when critical and planned, can support educators and positively transform pedagogical practice, but it requires ongoing training and attention to ethical issues. The field is expanding, requiring more theoretical, inclusive, and prolonged investigations.