The Role of Higher Education in the Adoption of Artificial Intelligence for Smart Cities (Original)
Keywords:
learning; innovation; artificial intelligence, sustainability; educational technologyAbstract
The study analyzed the importance of higher education as a central axis in the preparation of future professionals who drive sustainable urban development through the implementation of advanced technologies. The primary objective of the research was to identify how university education contributes to the adoption and use of these technologies in the design of innovative solutions for smart urban environments. A mixed methodology was used, including quantitative and qualitative methods, based on surveys conducted with students and faculty, as well as statistical analysis of variables related to educational level, technological knowledge, and attitudes toward technology. Among the most notable results, it was found that the adoption of artificial intelligence and the Internet of Things increases significantly with educational level, being more effective in environments where universities promote collaborative projects and multidisciplinary training. The main conclusion is that higher education plays a fundamental role in the transfer of knowledge and skills necessary to address the technological and social challenges of smart cities. This work is part of the research project: factors that determine the acceptance of smart city technologies in students with a high educational level, as well as the community engagement project: "Smart Urban Planning Web Platform for Strengthening Technological Services in Municipalities of Southern Manabí, Phase I", both developed by the Intelligent and Cyber-Physical Systems research group of the State University of Southern Manabí.
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References
Barrientos, E., & Areniz, Y. (2019). Universidad inteligente: Oportunidades y desafíos desde la Industria 4.0. Revista Ingenio, 16(1), 56–60. https://doi.org/10.22463/2011642x.2343
Comisión Económica para América Latina y el Caribe. (2024). Índice Latinoamericano de Inteligencia Artificial (ILIA). https://www.cepal.org/es/comunicados/indice-latinoamericano-inteligencia-artificial-ilia-mantiene-chile-brasil-uruguay-como
Eaton, E., Koenig, S., Schulz, C., Maurelli, F., Lee, J., Eckroth, J., & Williams, T. (2018). Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program. AI Matters, 3(4), 23-31. https://doi.org/10.1145/3175502.3175509
Gisbert, M., & Esteve, F. (2011). Digital Leaners: la competencia digital de los estudiantes universitarios. La cuestión universitaria, (7), 48-59. http://polired.upm.es/index.php/lacuestionuniversitaria/article/view/3359/3423
Herrera, L., & Muñoz, D. (2017). Inteligencia artificial y lenguaje natural. Lenguas Modernas, 19, 157-165. https://lenguasmodernas.uchile.cl/index.php/LM/article/view/45790
Miailhe, N. (2018). Competing in the Age of Artificial Intelligence: The State of the Art of AI & Interpretation of Complex Data. In The impact of artificial intelligence on the (re)insurance sector (pp. 11-14). Focus. https://www.scor.com/sites/default/files/focus_scor-artificial_intelligence.pdf
Miailhe, N., & Lannquist, Y. (2018). Un desafío de gobernanza mundial. Integración & comercio, (44), 218-231. https://dialnet.unirioja.es/servlet/articulo?codigo=6551945
Morín, E. (2018). De la reforma universitaria. Revista Educación Química, 9(3), 143-147. https://doi.org/10.22201/fq.18708404e.1998.3.66556
Ocaña, Y., Valenzuela, L. A., & Garro, L. L. (2019). Inteligencia artificial y sus implicaciones en la educación superior. Propósitos y Representaciones, 7(2), 536-568. https://doi.org/10.20511/pyr2019.v7n2.274
Pandiella, A., Moreno, L., García, C., & Sanz, E. (2018). Modelo de estimación de los indicadores del Academic Ranking of World Universities (Shanghai Ranking). Revista española de Documentación Científica, 41(2), 204. https://doi.org/10.3989/redc.2018.2.1462
Parra, J., Guerrero, C., & Rico, D. (2017). IOT: Una aproximación desde ciudad inteligente a universidad inteligente. Revista Ingenio UFPSO, 13, 142-153. https://revistas.ufps.edu.co/index.php/ingenio/article/view/2128/2068
Rico, D., Maestre, G., Guerrero, C., Medina, Y., Areniz, Y., Sánchez, M.C., & Barrientos, E. (2021). Smart university: Key factors for the adoption of internet of things and big data. RISTI - Revista Ibérica de Sistemas e Tecnologias de Informacao, (41), 63–79. https://doi.org/10.17013/risti.41.63-79
Vega, A., Morillo, K., Campoverde, C., & Rodríguez, L. (2021). Smart UNL: un Concepto de Universidad Inteligente. Revista Tecnológica -ESPOL, 33(1), 137-14. https://doi.org/10.37815/rte.v33n1.813
Vera, F. (2023) Integración de la Inteligencia Artificial en la Educación superior: Desafíos y oportunidades. Revista Electrónica Transformar, 4(1), 17–34. https://www.revistatransformar.cl/index.php/transformar/article/view/84
Vergel, G., & Guerrero, A. (2023). Ciudad Inteligente: mejoramiento de la seguridad ciudadana a través del uso de nuevas tecnologías. Revista Ingenio, 20(1), 32–39. https://doi.org/10.22463/2011642x.3510
Zapata, M. (2018). La universidad inteligente. La transición de los LMS a los Sistemas Inteligentes de Aprendizaje en Educación Superior. RED. Revista de Educación a Distancia, 57(10), 1-43. https://revistas.um.es/red/article/view/327431/228031
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