Perception of Industrial Engineering Students at UANL about Artificial Intelligence in Higher Education
DOI:
https://doi.org/10.29105/vtga11.2-1025Keywords:
Education, Industrial Engineering, Artificial IntelligenceAbstract
Artificial Intelligence (AI) is one of the technological pillars of Digital Transformation. This new technology is applied in various areas, including higher education. The objective of this research is to know the perception of 9th and 10th semester students of Industrial Engineering and Administration at UANL regarding the teaching and application of AI in higher education. First, an extensive documentary exploration of the subject was carried out. Subsequently, a mixed (quantitative and qualitative), exploratory, non-experimental and transactional design study was carried out. Two measurement instruments were designed, a questionnaire and a semi-structured interview script with the aim of finding out the students' opinion on AI. Sixty-four applied samples of the questionnaire and three interviews were obtained. The results indicate that 38% of the respondents consider that they know very little about AI, however, 44% consider that it is an indispensable subject in their university education. Likewise, students perceive high value advantages in the application of AI in education, such as greater efficiency in teaching and show a high interest in learning more about AI.
Downloads
References
ABET Engineering Accreditation Commission. (2018). Criteria for accrediting engineering programs, effective for reviews during the 2019–2020 accreditation cycle. USA: ABET Engineering Accreditation Commission. https://www.abet.org/
Aparicio Gómez, W. O. (2023). La Inteligencia Artificial y su Incidencia en la Educación: Transformando el Aprendizaje para el Siglo XXI. Revista Internacional De Pedagogía E Innovación Educativa, 3(2), 217–229. https://doi.org/10.51660/ripie.v3i2.133 DOI: https://doi.org/10.51660/ripie.v3i2.133
Basco, A. I., Beliz, G., Coatz, D., Garnero, O., & Garnero, P. (2018). Industria 4.0 Fabricando el Futuro. Banco Interamericano de Desarrollo (BID). http://dx.doi.org/10.18235/0001229 DOI: https://doi.org/10.18235/0001229
Creswell, J. W. (2017). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage.
Chiu, T. K., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118 DOI: https://doi.org/10.1016/j.caeai.2022.100118
Deshpande, D. S., Shanmugapriya, I., Choudhary, R. K., Patil, S. S., Singh, A., & Lotlikar, S. (2023) An Empirical Study on the Impact of Artificial Intelligence in Education with Reference to Teaching and Learning https://www.researchgate.net/profile/Dr-Dhananjay-Deshpande-2/publication/378861417_Regular_Issue_1/links/65ee9f66b7819b433bf539da/Regular-Issue-1.pdf
Garrell, A., & Guilera, L. (2019). La industria 4.0 en la sociedad digital. Marge Books.
González Palomo, I. G., Solís Peña, C., & García León, A. M. (2022). Análisis a Cursos en Línea para el Programa de Ingeniero Industrial Administrador con Tecnologías Digitales. Vinculatégica EFAN, 8(6), 1–11. https://doi.org/10.29105/vtga8.6-357 DOI: https://doi.org/10.29105/vtga8.6-357
González Sánchez, J. L., Villota Garcia, F. R., Moscoso Parra, A. E., Garces Calva, S. W., & Bazurto Arévalo, B. M. (2023). Aplicación de la Inteligencia Artificial en la Educación Superior. Dominio De Las Ciencias, 9(3), 1097–1108. https://doi.org/10.23857/dc.v9i3.3488
González-González, C. S. (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 DOI: https://doi.org/10.25145/j.qurricul.2023.36.03
Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001 DOI: https://doi.org/10.1016/j.caeai.2020.100001
Idroes, G. M., Noviandy, T. R., Maulana, A., Irvanizam, I., Jalil, Z., Lensoni, L., Lala, A., Abas, A. H., Tallei, T. E., & Idroes, R. (2023). Student Perspectives on the Role of Artificial Intelligence in Education: A Survey-Based Analysis. Journal of Educational Management and Learning, 1(1), 8–15. https://doi.org/10.60084/jeml.v1i1.58 DOI: https://doi.org/10.60084/jeml.v1i1.58
Khosravi, H., Shum, S. B., Chen, G., Conati, C., Tsai, Y. S., Kay, J. & Gašević, D. (2022). Explainable artificial intelligence in education. Computers and Education: Artificial Intelligence, 3, 100074. https://doi.org/10.1016/j.caeai.2022.100074 DOI: https://doi.org/10.1016/j.caeai.2022.100074
Macías Lara, R. A., Solorzano Criollo, L. R., Choez Calderón, C. J., & Blandón Matamba, B. E. (2023). La inteligencia artificial; análisis del presente y futuro en la educación superior.: Artificial intelligence; analysis of the present and future in higher education. Revista Científica MultidisciplinarG-Nerando, 4(1). https://revista.gnerando.org/revista/index.php/RCMG/article/view/98
Montgomery, D. C., & Runger, G. C. (2007). Probabilidad y estadística aplicadas a la ingeniería. Limusa Wiley.
Nagao, K. (2019). Artificial Intelligence in Education. Artificial Intelligence Accelerates Human Learning, 1–17. https://doi.org/10.1007/978-981-13-6175-3_1 DOI: https://doi.org/10.1007/978-981-13-6175-3_1
Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020 DOI: https://doi.org/10.1016/j.caeai.2021.100020
Pisica, A.I.; Edu, T.; Zaharia, R.M.; Zaharia, R. (2023) Implementing Artificial Intelligence in Higher Education: Pros and Cons from the Perspectives of Academics. Societies 2023, 13, 118. https://doi.org/10.3390/soc13050118 DOI: https://doi.org/10.3390/soc13050118
Rouhiainen, L. (2018). Inteligencia artificial. Madrid: Alienta Editorial.
Shenton, A. K., Neilson, D., & Birley, M. (2013). A mixed methods systematic review of published qualitative and quantitative studies on the impact of the COVID-19 pandemic on physical activity and sedentary behavior. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 142.
Ulloa-Duque, G. S., Torres -Mansur, S. M., & López-Piñón, D. C. (2020). Industria 4.0 en la educación superior. Vinculatégica EFAN, 6(2), 1348–1357. https://doi.org/10.29105/vtga6.2-585 DOI: https://doi.org/10.29105/vtga6.2-585
Vera, F. (2023). Integración de la Inteligencia Artificial en la Educación superior: Desafíos y oportunidades. Transformar, 4(1),17–34. https://www.revistatransformar.cl/index.php/transformar/article/view/84
Zouhaier, S. (2023). The Impact of Artificial Intelligence on Higher Education: An Empirical Study. European Journal of Educational Sciences, 10(1), 17-33. http://dx.doi.org/10.19044/ejes.v10no1a17 DOI: https://doi.org/10.19044/ejes.v10no1a17
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Elva Patricia Puente Aguilar, Dra. María de los Angeles Martínez Mercado, Dr. Leonardo Gabriel Hernández Landa

This work is licensed under a Creative Commons Attribution 4.0 International License.
a). Authors keep copyright and give the journal the right of the first publication of the work under a Creative Commons attribution license. This license allows others to share the work as long as original authorship and initial publication in this journal is acknowledged.
b). Authors may make other independent and additional contractual agreements for the non-exclusive distribution of the version of the article published in this journal (e.g., include it in an institutional repository or publish it in a book) as long as they clearly indicate that the work was published for the first time in this journal.