Artificial Intelligence and its scope in Latin American higher education

Abstract

Artificial Intelligence (AI) is having a significant impact on Latin American higher education. Through a bibliographic methodology of a qualitative nature, it has been possible to analyze and understand the scope of AI in this area. In the first place, it is highlighted that AI in Latin American higher education has allowed expanding access to education, breaking geographical and economic barriers. This is achieved through the availability of digital educational resources and the ability to participate in online learning programs. In addition, AI has promoted the personalization of learning, adapting the educational process to the individual needs of students. Through intelligent tutoring systems and AI-based educational platforms, relevant content can be offered and adapted to each student, as well as provide instant and personalized feedback. AI has also improved the efficiency and quality of higher education. By automating administrative and repetitive tasks, time is freed up for educators to focus on more meaningful activities, such as curriculum design and individual attention to students. In addition, AI enables data analysis and pedagogical reporting, facilitating evidence-based decision making. However, ethical and privacy challenges associated with the use of AI in higher education are recognized. It is necessary to ensure the protection of students' personal data and address issues of fairness and transparency in the development and implementation of AI systems. In conclusion, AI is transforming higher education in Latin America, providing access, personalization, efficiency and quality. The qualitative bibliographic methodology has allowed us to understand the scope of AI in this area, highlighting its positive impact and the challenges that must be addressed for its responsible implementation.