AI as educational disruption: a new panorama for Latin American universities
DOI:
https://doi.org/10.70452/scientiaiter11.3Keywords:
Challenges, University education, Artificial intelligence, SustainabilityAbstract
The integration of artificial intelligence (AI) in university education in Latin America presents significant challenges, including the need to update curricula, the shortage of trained teaching staff, ethical and accountability implications, unequal access to technology and the resulting digital divide, changes in the labor market, and concerns about data privacy and security. Addressing these challenges is crucial to harnessing the potential of AI and improving the quality and relevance of higher education in the 21st century. This research, with the general objective of analyzing the challenges of university education in Latin America in the age of AI, was developed under a qualitative paradigm, with a non-experimental, descriptive field research approach, using documentary bibliographic methods and a hermeneutic method applied to 10 key informants. It was projected that the research will highlight the importance of collaboration between universities, businesses, and governments to share resources, knowledge, and best practices in the implementation of AI in education. Likewise, the research will demonstrate the need to implement policies and strategies that guarantee equitable access to technology and AI education for all students, regardless of their socioeconomic background or geographical location.
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