Integración de la inteligencia artificial en la enseñanza de las Ciencias Sociales en la educación superior
Wilson Iván Piedra-Castro, Mishell Alejandra Cajamarca-Correa, Erika Silvana Burbano-Buñay, Elvin Fray Moreira-Alcívar
Abstract
The integration of artificial intelligence (AI) in the teaching of social sciences in higher education has become a crucial issue due to the rapid technological evolution and access to digital tools, which allow for more personalized and effective learning. This study aims to analyze the trends, opportunities and challenges of AI in this context. Methodologically, a comprehensive review of articles from the Scopus database of the year 2024 was conducted, selecting 436 relevant articles that were analyzed qualitatively and quantitatively. The results indicate that 58.3% of the publications are scientific articles, followed by conference proceedings and reviews, underlining the preference for validation and replicability in knowledge dissemination. The discussion reveals that, despite the potential of AI to personalize education and automate administrative tasks, there are significant barriers such as lack of adequate technological infrastructure and resistance to change among educators. Finally, it is concluded that, for effective adoption of AI in higher education, it is essential to invest in infrastructure, train teachers, and develop robust ethical and regulatory frameworks that ensure fairness and privacy of student data.