United Academic Journals (UA Journals)

En los últimos años la Inteligencia Artificial (IA) ha revolucionado múltiples sectores, y la educación no es la excepción. A raíz de ello han surgido iniciativas en diversas universidades para comprender este fenómeno. El objetivo de este estudio es identificar las perspectivas de la inteligencia artificial en estudiantes universitarios mediante una revisión sistemática de la literatura. Para ello, se decidió usar el método Prisma en una base de datos de reconocido prestigio: Scopus. Una vez terminado el proceso de depuración quedaron 32 estudios, distribuidos por tipo de estudio de la siguiente manera: 12 cuantitativos, 8 cualitativos, 7 mixtos y 5 estudios reportan una revisión de la literatura. La literatura académica reconoce el potencial de la inteligencia artificial (IA) para revolucionar la educación superior. Sin embargo, su implementación exitosa depende de superar desafíos significativos. Es esencial capacitar tanto a docentes como a estudiantes en el uso ético y crítico de la IA, estableciendo códigos de conducta claros y promoviendo la inclusión para evitar la ampliación de brechas digitales. El diseño instruccional debe adaptarse para integrar la IA en la creación de actividades y cursos, y es fundamental desarrollar habilidades de gestión de la información para identificar y corregir posibles errores o sesgos en los resultados generados por la IA, garantizando así la calidad y confiabilidad de la información utilizada en el ámbito académico.

Palabras Clave/Keywords

Palabras Clave / Keywords

Inteligencia Artificial, Estudiantes Universitarios, IA.

Referencias/References

Referencias / References

1. Subaveerapandiyan, A., Radhakrishnan, S., Tiwary, N., Guangul, S. M.: Student satisfaction with artificial intelligence chatbots in Ethiopian academia. IFLA Journal (2024). https://doi.org/10.1177/03400352241252974

2. Saravia‐Rojas, M. Á., Camarena‐Fonseca, A. R., León‐Manco, R., Geng‐Vivanco, R.: Artificial intelligence: ChatGPT as a disruptive didactic strategy in dental education. Journal Of Dental Education, 88(6), 872-876 (2024). https://doi.org/10.1002/jdd.13485

3. Torres-Gómez, A.: Information needs and perception of artificial intelligence tools among doctoral students in educational research in Tlaxcala, Mexico. Investigación Bibliotecológica, 38(98), 79-98 (2024). https://doi.org/10.22201/iibi.24488321xe.2024.98.58852

4. de Vicente-Yagüe-Jara, M. I., López-Martínez, O., Navarro-Navarro, V., Cuéllar-Santiago, F.: Writing, Creativity, and Artificial Intelligence: ChatGPT in the University Context. Comunicar, 31(77), 47-57 (2023). https://doi.org/10.3916/C77-2023-04

5. Cao, Y., Aziz, A. A., Arshard, W. N. R. M.: University students’ perspectives on Artificial Intelligence: A survey of attitudes and awareness among Interior Architecture students. International Journal of Educational Research and Innovation, (20), 1-23 (2023). https://doi.org/10.46661/ijeri.8429

6. Parra-Sánchez, J. S., Pardo, I. D. T., De Merino, C. y. M.: Explanatory Factors of University Dropout Explored Through Artificial Intelligence. Revista Electrónica de Investigación Educativa, 25, e18 (2023). https://doi.org/10.24320/redie.2023.25.e18.4455

7. Grájeda, A., Burgos, J., Córdova, P., Sanjinés, A.: Assessing student-perceived impact of using artificial intelligence tools: Construction of a synthetic index of application in higher education. Cogent Education, 11(1) (2023). https://doi.org/10.1080/2331186x.2023.2287917

8. Da Costa, R. D., De Souza, G. F., De Castro, T. B., De Medeiros Valentim, R. A., De Pinho Dias, A.: Identification of Learning Styles in Distance Education Through the Interaction of the Student With a Learning Management System. Revista Iberoamericana de Tecnologias del Aprendizaje, 15(3), 148-160 (2020). https://doi.org/10.1109/rita.2020.3008131

9. Albarracín, Vanoy, R. J.: Educational Transformation: Optimization in the Teaching of Logistics in International Business through the Application of Artificial Intelligence in Higher Education Institutions. Salud, Ciencia y Tecnología - Serie de Conferencias, 2, 422 (2023) https://doi.org/10.56294/sctconf2023422

10. Truong, N. M., Vo, T. Q., Tran, H. T. B., Nguyen, H. T., Pham, V. N. H.: Healthcare students’ knowledge, attitudes, and perspectives toward artificial intelligence in the southern Vietnam. Heliyon, 9(12), e22653 (2023). https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178000311&doi=10.1016%2fj.heliyon.2023.e22653&partnerID=40&md5=da413d3a957c7833f96036de024ffce

11. Bozza, S., Roten, C. -A., Jover, A., Cammarota, V., Pousaz, L., Taroni, F.: A model-independent redundancy measure for human versus ChatGPT authorship discrimination using a Bayesian probabilistic approach. Scientific Reports, 13(1), 19217 (2023). https://doi.org/10.1038/s41598-023-46390-8

12. Jha, N., Shankar, P. R., Al-Betar, M. A., Mukhia, R., Hada, K., Palaian, S.: Undergraduate Medical Students’ and Interns’ Knowledge and Perception of Artificial Intelligence in Medicine. Advances In Medical Education And Practice, 13, 927-937 (2022). https://doi.org/10.2147/amep.s368519

13. Karataş, F., Abedi, F. Y., Ozek Gunyel, F., Karadeniz, D., Kuzgun, Y.: Incorporating AI in foreign language education: An investigation into ChatGPT’s effect on foreign language learners. Education and Information Technologies, (2024). https://doi.org/10.1007/s10639-024-12574-6

14. González Campos, J. A., López Núñez, J. C., Araya Pérez, C. E.: Higher education and artificial intelligence: challenges for the 21st century. Aloma, 42(1), 79-90 (2024). https://doi.org/10.51698/aloma.2024.42.1.79-90

15. Tacuri, J. C. T., Castillo, O. S. C., Soledispa, C. J. L., Alvarado, V. D. L.: Analysis of The Implementation of Artificial Intelligence in The Detection and Prevention of Academic Plagiarism in A University Environment. Revista de Gestao Social e Ambiental, 18(8), e06372 (2024). https://doi.org/10.24857/rgsa.v18n8-072

16. Ojeda, A. D., Solano-Barliza, A. D., Alvarez, D. O., Cárcamo, E. B.: Analysis of the impact of artificial intelligence ChatGPT on the teaching and learning processes in university education. Formación Universitaria, 16(6), 61-70 (2023). https://doi.org/10.4067/s0718-50062023000600061

17. Ibrahi, H., Liu, F., Asim, R., Battu, B., Benabderrahmane, S., Alhafni, B., Adnan, W., Alhanai, T., AlShebli, B., Baghdadi, R., Bélanger, J.J., Beretta, E., Celik, K., ,Chaqfeh, M.; Daqaq, M.F., Bernoussi, Z.E., Fougnie, D., Garcia de Soto, B., Gandolfi, A., Gyorgy, A., Habash, N., Harris, J.A., Kaufman, A., Kirousis,L., Kocak, K., Lee, K., Lee, S.S., Malik, S., Maniatakos, M., Melcher, D., Mourad, A., Park, M., Rasras, M., Reuben, A.,Zantout, D., Gleason, N.W., Makovi, K., Rahwan, T., Zaki, Y.: Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. Scientific Reports, 13(1), 12187 (2023) https://doi.org/10.1038/s41598-023-38964-3

18. Tapalova, O., Zhiyenbayeva, N.: Artificial Intelligence in Education: AIEd for Personalised Learning Pathways. Electronic Journal Of e-Learning, 20(5), 639-653 (2022). https://doi.org/10.34190/ejel.20.5.2597

19. Martín-Ramallal, P., Merchán-Murillo, A., Ruiz-Mondaza, M.: Virtual trainers with artificial intelligence: levels of acceptance among university students. Educar, 58(2), 427-442 (2022). https://doi.org/10.5565/rev/educar.1482

20. Villegas-Ch, W., Román-Cañizares, M., Palacios-Pacheco, X.: Improvement of an Online Education Model with the Integration of Machine Learning and Data Analysis in an LMS. Applied Sciences(Switzerland), 10(15), 5371 (2020). https://doi.org/10.3390/app10155371

21. Ruiz-Rojas, L. I., Acosta-Vargas, P., De-Moreta-Llovet, J., Gonzalez-Rodriguez, M.: Empowering Education with Generative Artificial Intelligence Tools: Approach with an Instructional Design Matrix. Sustainability(Switzerland), 15(15), 11524 (2023). https://doi.org/10.3390/su151511524

22. Segovia-García, N.: Perception and usage of chatbots among online postgraduate students: An exploratory study. Revista de Investigación en Educación, 21(3), 335-349 (2023). https://doi.org/10.35869/reined.v21i3.4974

23. Elhossiny, M., Eladly, R., Saber, A.: The integration of psychology and artificial intelligence in e-learning systems to guide the learning path according to the learner’s style and thinking. International Journal Of Advanced And Applied Sciences, 9(12), 162-169 (2022).

24. Başarir, L.: Modelling AI in Architectural Education. Gazi University Journal Of Science, 35(4), 1260-1278 (2022). https://doi.org/10.35378/gujs.967981

25. Calvo-Rubio, L. -M., Ufarte-Ruiz, M. -J.: Perception of teachers, students, innovation managers and journalists about the use of artificial intelligence in journalism. Profesional de la Información, 29(1), e290109 (2020). https://doi.org/10.3145/epi.2020.ene.09

26. Castrillón, O. D., Sarache, W., Ruiz-Herrera, S.: Prediction of academic performance using artificial intelligence techniques. Formación Universitaria, 13(1), 93-102 (2020). https://doi.org/10.4067/s0718-50062020000100093

27. Chen, Z., Zhang, J., Jiang, X., Hu, Z., Han, X., Xu, M., Savitha, V., Vivekananda, G. N.: Education 4.0 using artificial intelligence for students performance analysis. Inteligencia Artificial, 23(66). 124-137 (2020). https://doi.org/10.4114/intartif.vol23iss66pp124-137

28. Vargas, E. G., Chiappe, A., Durand, J.: Reshaping education in the era of artificial intelligence: insights from Situated Learning related literature. Journal of Social Studies Education Research, 15(2), 1-28 (2024).https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195519708&partnerID=40&md5=5bc3d6df6ffda96593b6ffd37a067fbd

29. García-Peñalvo, F. J., Llorens Largo, F., Vidal, J.: The new reality of education in the face of advances in generative artificial intelligence. RIED-Revista Iberoamericana de Educación a Distancia, 27(1), 9-39 (2024). https://doi.org/10.5944/ried.27.1.37716

30. Hernández-León, N., Rodríguez-Conde, M.-J.: Artificial intelligence applied to education and educational assessment at the university: introduction of intelligent tutoring systems, recognition systems, and other future trends. Revista de Educación a Distancia, 24(78), (2024). http://dx.doi.org/10.6018/red.594651

31. Rasheed, Z., Ghwanmeh, S., Abualkishik, A. Z.: Harnessing Artificial Intelligence for Personalized Learning: A Systematic Review. Data and Metadata, 2, 146 (2023). https://doi.org/10.56294/dm2023146

32. Gallent-Torres, C., Zapata-González, A., Ortego Hernando, J. L.: The impact of Generative Artificial Intelligence in higher education: a focus on ethics and academic integrity. Revista Electrónica de Investigación y Evaluación Educativa, 29(2), (2023). https://doi.org/10.30827/relieve.v29i2.29134

Cómo citar/How to cite

Cómo citar / How to cite

Torres-Gastelú, C. A., Lagunes-Domínguez, A., Lagunes-Domínguez, P., y Nava-Domínguez, B. J. (2024). Inteligencia artificial y estudiantes universitarios: revisión sistemática de la literatura. En C. Rusu et al., (1ª ed.), Transformación digital en la educación: innovaciones y desafíos en la tecnología educativa (pp. 23-27). Huelva (España): United Academic Journals (UA Journals). https://doi.org/10.54988/uaj.000028.003