Impact of AI-based virtual tutors on personalized learning in higher education.
DOI:
https://doi.org/10.61582/65a5wb60Keywords:
Virtual tutor, AI , teacher, educationAbstract
Virtual tutors based on artificial intelligence (AI) represent a significant innovation in higher education by facilitating personalized learning, adapting to the pace and style of each student. These systems allow immediate feedback, monitoring of academic progress and recommendation of specific content according to individual needs. Therefore, the objective of this research is to analyze the impact of AI-based virtual tutors on the personalized learning process of students in the Production Engineering program at the University of Guayaquil. Research was developed under a mixed approach with an exploratory, descriptive and correlational scope. A purposive and stratified random sampling was applied to students and teachers through structured surveys. More than 60% of the students stated that the use of virtual tutors enabled them to better understand complex topics and to organize their self-study more efficiently. Likewise, teachers identified improvements in student participation and monitoring of academic performance. However, they pointed out limitations related to technological infrastructure and teacher training in the use of these tools. Somers' d statistic was obtained with a value of 0.305 between the use of virtual tutors and the level of personalization of learning, indicating a moderate association.
References
[1] N. Selwyn, ¿Deberían los robots sustituir al profesorado? Ediciones Morata, S. L., 2019. [En línea]. Disponible en: https://elibro.net/es/lc/uguayaquil/titulos/166491
[2] D. Merchán y E. Maldonado, «Incidencia de los accidentes del trabajo en el índice de desempeño económico-fiscal de los sectores productivos en el Ecuador, periodo 2013-2015», https://www.ecorfan.org/republicofnicaragua/researchjournal/investigacionessociales/journal
/vol3num10/Revista_de_Investigaciones_Sociales_V3_N10_5.pdf, vol. 3, n.o 10, pp. 44-50, 2017, doi: https://doi.org/2414-4835.
[3] D. Páramo Morales, Métodos de investigación cualitativa fundamentos y aplicaciones, 1ST ED. S.l.: EDITORIAL UNIMAGDALENA, 2020.
[4] V. Barrón de Olivares, Proyectos y metodologías de la investigación. Buenos Aires: Editorial Maipue, 2020.
[5] V. Zotov y E. Kramkowski, «Moving-Target Intelligent Tutoring System for Marksmanship Training», Int. J. Artif. Intell. Educ., vol. 33, n.o 4, pp. 817-842, dic. 2023, doi: 10.1007/s40593-022-00308-z.
[6] A. Caballero, «GPT-4o: Tutores superinteligentes que no se cansan, ¿y ahora qué?», IAEducativa. Accedido: 30 de junio de 2024. [En línea]. Disponible en: https://iaeducativa.org/2024/06/04/gpt-4o-tutores-superinteligentes-que-no-se-cansan-y-ahora-que/
[7] D. Merchán, P. Tejada, F. Villacís, y B. Duchi, «Plan de comunicaciones como elemento para la mejora de la calidad y productividad | Pro Sciences: Revista de Producción, Ciencias e Investigación». Accedido: 25 de febrero de 2025. [En línea]. Disponible en: https://journalprosciences.com/index.php/ps/article/view/706
[8] A. R. T. Reyes, «Impacto de la Inteligencia Artificial en la Transformación Digital y Aprendizaje Educativo», EcoSur Innov. Technol. Sustain. Dev. Lat. Am., vol. 1, n.o 7, Art. n.o 7, feb. 2025, doi: 10.61582/k266es50.
[9] E. P. D. L. C. Gaona, W. V. H. Niquen, G. E. Vasquez, L. E. R. Dueñez, y J. S. Pinedo, «Tutores virtuales y el aprendizaje del curso de estadística en los estudiantes de la Facultad de Ciencias Contables de la Universidad Nacional del Callao», IGOBERNANZA, vol. 6, n.o 23, Art. n.o 23, sep. 2023, doi: 10.47865/igob.vol6.n23.2023.289.
[10] R. G. Palomino, D. V. C. Mayanaza, y J. M. R. Cruz, «Aulas virtuales en el aprendizaje del nivel superior», Horiz. Rev. Investig. En Cienc. Educ., vol. 7, n.o 30, Art. n.o 30, jul. 2023, doi: 10.33996/revistahorizontes.v7i30.649.
[11] L. D. Suárez Riveros, Elementos para la construcción de un modelo de tutor virtual. Bogotá: Editorial Universidad Autónoma de Colombia, 2020.
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