Análisis y beneficios de la educación en la era de la inteligencia artificial
Ronny Leandro Caicedo-Basurto, Byron Manuel Camacho-Medina, Carlos Alfredo Quinga-Villa, Alex Fabián Fonseca-Lombeida, Steve Alexander López-Freire
Abstract
The study addresses the educational transformation driven by artificial intelligence (AI) and the challenges associated with its implementation in the academic context. The main objective is to analyze the benefits, risks and ethical considerations in the adoption of AI in education, through a comprehensive literature review of recent studies and reports from international organizations. The methodology employed was exploratory, based on a literature review in academic databases and relevant sources on AI and education. The results highlight that AI makes it possible to personalize learning, automate administrative tasks and optimize real-time feedback; however, it also raises ethical issues in terms of data privacy and algorithmic bias, as well as inequalities arising from the digital divide. The discussion suggests that while AI offers opportunities to improve educational quality, its integration must be carefully managed to avoid inequalities and protect student autonomy. In conclusion, the study highlights the importance of inclusive policies, investment in infrastructure and teacher training to ensure that AI acts as an educational complement, promoting ethical and accessible education for all.