The Impact of Artificial Intelligence on University Student Life

Main Article Content

Leydi Cruz Ulloa
Luis Daniel Ruiz Rojas

Abstract

Introduction: The study examines the impact of artificial intelligence (AI) on university education. Its objective is to explore the benefits and challenges of its implementation. Objective: To thoroughly analyze the effects of artificial intelligence on higher education. Methodology: A methodology involving literature review, empirical data collection, and careful analysis is employed. Results and Discussion: Artificial intelligence offers opportunities to personalize learning and enhance feedback, but poses ethical and social challenges. Conclusions: If the challenges are addressed, artificial intelligence can improve educational quality. The importance of considering ethical and pedagogical aspects in its implementation is emphasized. In summary, the study provides a balanced view of the impact of artificial intelligence on university education, aiming to facilitate informed and responsible decision-making in this constantly evolving field. Keywords: Education, Artificial Intelligence, University

Downloads

Download data is not yet available.

Article Details

How to Cite
Cruz Ulloa, L., & Ruiz Rojas, L. D. . (2024). The Impact of Artificial Intelligence on University Student Life. INVESTIGATIO, (22). https://doi.org/10.31095/investigatio.2024.22.7
Section
Artículos

References

González-González, C. S., & Universidad de La Laguna (España). (2023). El impacto de la inteligencia artificial en la educación: transformación de la forma de enseñar y de aprender. Qurriculum, 36, 51–60. https://doi.org/10.25145/j.qurricul.2023.36.03

Jones-Ortiz, C. V. and Seraquive, J. E. G. (2022). Análisis de las técnicas de machine learning aplicadas en la detección de fraudes bancarios. Revista Científica Ciencia Y Tecnología, 22(33). https://doi.org/10.47189/rcct.v22i33.516

Ocaña-Fernández, Y., Valenzuela-Fernández, L. A., & Garro-Aburto, L. L. (2019). Inteligencia artificial y sus implicaciones en la educación superior. Propósitos Y Representaciones, 7(2). https://doi.org/10.20511/pyr2019.v7n2.274

Torres Cruz, Edward Torres Cruz, Fred Torres Segura, Julio W. (2023). Impacto de la Inteligencia Artificial en la Educación Universitaria. Editora Científica Digital, 6, 80–91. https://doi.org/10.37885/230513147

Zabala, J. A., Alchundia, I. M., & Seraquive, J. E. 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