Introduction: Artificial Intelligence (AI) transforms education through adaptive tools, process automation, and data analytics. This research aims to analyze its impact through a systematic literature review to identify trends, benefits, and challenges. Objective: Critically analyze scientific evidence regarding the impact of AI on teaching methodologies, personalized learning, and academic performance. Methods: A systematic review was conducted following the PRISMA guidelines. The search was performed on January 15, 2024, on the Scopus, Web of Science (WoS), and ProQuest databases. A total of 65 articles published between 2019 and 2023 were selected, in accordance with the inclusion and exclusion criteria. Two reviewers conducted the selection independently, and methodological quality was assessed using the AMSTAR-2 tool. Results: The results show that AI improves academic performance (a 28% increase according to the studies analyzed), with chatbots and augmented/virtual reality being the most effective tools. Spain and China account for 26% of scientific output. Personalized learning and automated feedback are the most commonly reported benefits. Conclusion: These findings serve to guide the implementation of AI tools in educational institutions, highlighting their positive impact on student performance and the personalization of learning. Further research is recommended on the long-term effects and the standardization of assessment criteria.
Paredes-Ventura et al. (Wed,) studied this question.