Artificial Intelligence and its scope in Latin American higher education
DOI:
https://doi.org/10.56183/iberoeds.v3i1.627Palavras-chave:
AI, human intelligence, digitized university, digital skills, virtual environmentsResumo
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.
Referências
Alvarado Zabala, J. ., Martillo Alchundia, I. ., & Guzman Seraquive, G. . (2022). Revisión de literatura sobre las técnicas de Machine Learning en la detección de fraudes bancarios. Sapienza: International Journal of Interdisciplinary Studies, 3(1), 719–727. https://doi.org/10.51798/sijis.v3i1.257
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.
Floridi, L. (2010). Information: A Very Short Introduction. Oxford University Press.
Floridi, L. (2019). The Fourth Revolution: How the Infosphere is Reshaping Human Reality. Oxford University Press.
Ford, M. (2015). Rise of the Robots: Technology and the Threat of a Jobless Future. Basic Books.
Kurzweil, R. (2005). The Singularity Is Near: When Humans Transcend Biology. Penguin Books.
Lee, K. F. (2018). AI Superpowers: China, Silicon Valley, and the New World Order. Houghton Mifflin Harcourt.
Manyika, J., Chui, M., & Miremadi, M. (2017). A Future That Works: Automation, Employment, and Productivity. McKinsey Global Institute.
Peña-Ayala, A., & Gutiérrez, F. (2019). Inteligencia Artificial en Educación: Perspectivas y desafíos. RIED. Revista Iberoamericana de Educación a Distancia, 22(2), 7-25.
Rizzotto, T. S., Oliveira, M. S., & Valente, J. A. (2018). Inteligencia Artificial en la Educación: Panorama de su aplicación en la educación superior en América Latina. Revista de la Educación Superior, 47(185), 1-21.
Rodríguez, D., Scolari, C., & Bañales, J. I. (2020). Inteligencia Artificial y Educación Superior: Nuevos desafíos en América Latina. Revista Mexicana de Investigación Educativa, 25(86), 47-73.
Russell, S., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach. Pearson.
Russell, S., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach. Pearson.
Salinas, A. C., García, F. R., & Pérez, M. P. (2019). Inteligencia Artificial aplicada a la Educación Superior en América Latina: Un estudio de caso. Revista Iberoamericana de Producción Académica y Gestión Educativa, 6(11), 117-132.
Sternberg, R. J. (2003). Wisdom, Intelligence, and Creativity Synthesized. Cambridge University Press.
Tegmark, M. (2017). Life 3.0: Being Human in the Age of Artificial Intelligence. Alfred A. Knopf.
Tegmark, M. (2017). Life 3.0: Being Human in the Age of Artificial Intelligence. Alfred A. Knopf.
Turkle, S. (2017). Alone Together: Why We Expect More from Technology and Less from Each Other. Basic Books.
Valverde, R., & Caballero, L. (2017). La Inteligencia Artificial en la Educación Superior: Un estudio bibliométrico en América Latina. Investigación Bibliotecológica: Archivonomía, Bibliotecología e Información, 31(72), 77-95.
Veloso, M. M. (2018). Artificial Intelligence: Foundations of Computational Agents. Cambridge University Press.
West, D. M. (2018). The Future of Work: Robots, AI, and Automation. Brookings Institution Press.
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2023 Anghelo Josué Guerrero-Quiñonez, Mirna Carolina Bedoya-Flores, Erick Fabián Mosquera-Quiñonez, Ángel Enrique Mesías-Simisterra, José Vicencio Bautista-Sánchez
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.