Impact of the use of artificial intelligence for digital content creation in multimedia engineering undergraduate students

Authors

DOI:

https://doi.org/10.24054/rcta.v2i44.3046

Keywords:

Artificial intelligence, engineering, multimedia engineering, creativity and ethics

Abstract

The study analyzed the impact of using artificial intelligence in digital content production among undergraduate students in Multimedia Engineering at Universidad Simón Bolívar, Cúcuta campus, during the academic semester 2023-2. It aimed to assess how this technology influences students' creative and technical skills development, as well as their creative autonomy, considering their understanding of authorship attribution and ethics in human-AI collaboration. Conducted within a positivist paradigm using deductive-logical quantitative design, data was collected through a survey of a simple random sample of 123 students from the total enrolled (178), with approximately 6% sample mortality. Findings revealed a dual perception regarding AI's impact on skill enhancement, showing both acceptance and skepticism. This highlights the diverse experiences encountered when Multimedia Engineering students decide to implement AI in their professional endeavors, emphasizing the pedagogical need to address AI in future professionals' education.

Downloads

Download data is not yet available.

References

A. Kaplan and M. Haenlein, “Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence,” Bus Horiz, vol. 62, no. 1, pp. 15–25, 2019, doi: https://doi.org/10.1016/j.bushor.2018.08.004. DOI: https://doi.org/10.1016/j.bushor.2018.08.004

M. Haenlein and A. Kaplan, “A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence,” Calif Manage Rev, vol. 61, no. 4, pp. 5–14, Aug. 2019, doi: 10.1177/0008125619864925. DOI: https://doi.org/10.1177/0008125619864925

M. A. Boden, “Artificial intelligence: a very short introduction,” Oxford University Press, 2018. DOI: https://doi.org/10.1093/actrade/9780199602919.001.0001

C. Bhargava and P. K. Sharma, Artificial In telligence. Boca Raton: CRC Press, 2021. doi: 10.1201/9781003095910. DOI: https://doi.org/10.1201/9781003095910

E. Parliament, D.-G. for Parliamentary Research Services, and P. Boucher, Artificial intelligence – How does it work, why does it matter, and what we can do about it? European Parliament, 2020. doi: doi/10.2861/44572.

O. Campesato, Artificial Intelligence, Machine Learning, and Deep Learning. Mercury Learning & Information, 2020. [Online]. Available: https://books.google.com.co/books?id=aUr8ywEACAAJ DOI: https://doi.org/10.1515/9781683924654

PwC, "Will robots really steal our jobs? An international analysis of the potential long-term impact of automation," 2018. [En línea]. Disponible: https://is.gd/ApKuPI

J. Hatzius, J. Briggs, D. Kodnani, y G. Pierdomenico, "The potentially large effects of artificial intelligence on economic growth," Goldman Sachs, 26 de marzo de 2023.

T. H. Davenport and N. Mittal, “How Generative AI Is Changing Creative Work,” Harvard Business Review. Accessed: Mar. 12, 2024. [Online]. Available: https://hbr.org/2022/11/how-generative-ai-is-changing-creative-work

E. Mendoza y A. Mendoza Marchán, "Síntesis de la Investigación Positivista," AULA VIRTUAL, vol. 4, no. 10, pp. 156-160, 2023. [En línea]. Disponible: https://doi.org/10.5281/zenodo.8132312

C. Ricoy, "Contribución sobre los paradigmas de investigación," Revista do Centro de Educação, vol. 31, no. 1, pp. 11-22, 2006.

C. A. Ramos, "Los paradigmas de la investigación científica," Avances En Psicología, vol. 23, no. 1, pp. 9-17, 2015. [En línea]. Disponible: https://doi.org/10.33539/avpsicol.2015.v23n1.167 DOI: https://doi.org/10.33539/avpsicol.2015.v23n1.167

R. Ruiz, Historia y evolución del pensamiento científico. México: Eumed, 2006.

B. Márquez, "LA INVESTIGACIÓN POLITOLÓGICA DESDE LO CLÁSICO A LO CONTEMPORÁNEO," Comisión de Arbitraje Dr. Mario Morales Dr. José D Mora Dr. Basilio Sánchez Dr. Javier Méndez, vol. 250, 2014.

G. Mousalli-Kayat, Métodos y diseños de investigación cuantitativa. 2015.

J. R. R. Labrador, J. D. M. D. Campos y J. C. Anguita, "La encuesta como técnica de investigación. Elaboración de cuestionarios y tratamiento estadístico de los datos (I)," Atención primaria: Publicación oficial de la Sociedad Española de Familia y Comunitaria, vol. 31, no. 8, pp. 527-538, 2003. DOI: https://doi.org/10.1016/S0212-6567(03)70728-8

S. M. Maldonado Luna, "Manual Práctico Para El Diseño De La Escala Likert," Xihmai, vol. 2, no. 4, 2012. [En línea]. Disponible: https://doi.org/10.37646/xihmai.v2i4.101 DOI: https://doi.org/10.37646/xihmai.v2i4.101

D. Sulbarán, Medición de actitudes. Caracas: Editorial de la Universidad Central de Venezuela, 2009.

R. Hernández Sampieri, C. Fernández Collado y P. Baptista Lucio, Metodología de la Investigación, 4ta ed. DF, México: McGraw Hill, 2006.

J. Pérez, "Estadística descriptiva e inferencial," 2016. [En línea]. Disponible: https://url2.cl/HnqYk

L. O. Pérez González, "Microsoft Excel: una herramienta para la investigación," MediSur, vol. 4, no. 3, pp. 68-71, 2006.

L. Molinero, "Gráficos de datos estadísticos en medicina," 2003. [En línea]. Disponible: https://www.alceingenieria.net/bioestadistica/graficos.pdf

Published

2024-08-05

How to Cite

Cortes Sánchez, P. E., Rodríguez Ibañez, R. E., & Leal Pabón, J. L. (2024). Impact of the use of artificial intelligence for digital content creation in multimedia engineering undergraduate students. COLOMBIAN JOURNAL OF ADVANCED TECHNOLOGIES, 2(44), 160–169. https://doi.org/10.24054/rcta.v2i44.3046

Most read articles by the same author(s)