Artificial Intelligence: Automation and Creativity Development in Students in Higher Education
DOI:
https://doi.org/10.37843/rted.v17i2.574
Article Sidebar
Main Article Content
Abstract
Artificial Intelligence (AI) is presented as a useful tool if used as an instrument of innovation, freeing up time and resources for creativity, a human condition that should not be automated. The research aimed to demonstrate that AI, providing tools, resources, and data analysis, can foster and support human creativity. The research was based on a systematic method with a phenomenological humanistic paradigm, a qualitative approach, and a topical narrative design. The study was classified as an exploratory and cross-sectional documentary. A total of 10 articles obtained from the Eric, Scopus, and WOS databases were analyzed, with a maximum age of five years. Documents irrelevant to the central topic were discarded. The findings revealed the technological advancement in AI between 2019 and 2020, highlighting its application in fields such as medical sciences, design, audiovisual language, and photography. The review used thematic content analysis and showed that AI has great potential to enhance human creativity. It also underlined the importance of the qualitative approach in recent studies and the need to synthesize information for future research. It concluded that AI could enhance human creativity by providing tools and resources that facilitate artists and creative professionals, optimize repetitive tasks, and offer real-time data analysis.
Downloads
Metrics
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Those authors who have publications in our journal accept the following terms:
- When a work is accepted for publication, the author retains rights of reproduction, distribution of his/her article for exploitation in all countries of the world in the format provided by our magazine and any other magnetic medium, optical, and digital.
- Authors will retain their copyright and guarantee the journal the right first to publish their work, which will be simultaneously subject to the Creative Commons Acknowledgment License (Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)). That allows third parties to copy and redistribute the material in any medium or format, under the following conditions: Acknowledgment - You must properly acknowledge authorship, provide a link to the license, and indicate if any changes have been made. You may do so in any reasonable way, but not in a way that suggests you have the licensor's endorsement or receive it for your use. NonCommercial - You may not use the material for a commercial purpose. NoDerivatives - If you remix, transform, or build from the material, you cannot broadcast the modified material. There are no additional restrictions - You cannot apply legal terms or technological measures that legally restrict you from doing what the license allows.
- Authors may adopt other non-exclusive license agreements to distribute the published version of the work (e.g., deposit it in an institutional archive or publish it in a monographic volume) provided that the initial publication in this journal is indicated.
- Authors are allowed and recommended to disseminate their work through the Internet (e.g., in institutional telematic archives, repositories, libraries, or their website), producing exciting exchanges and increasing the published work's citations.
- Request of withdrawal an article has to be done in writing by the author to the Editor, becoming effective after a written response from the Editor. For this purpose, the author or authors will send correspondence via e-mail: [email protected].
- The author will not receive financial compensation for the publication of his work.
- All Docentes 2.0 Journal publications are under the Open Journal System (OJS) platform at: https://ojs.docentes20.com/.
References
Arbeláez, D., Villasmil, J., & Rojas, M. (2021). Inteligencia artificial y condición humana: ¿Entidades contrapuestas o fuerzas complementarias? https://n9.cl/eqlcs
Balderas, I. (2017). Investigación cualitativa: características y recursos. https://n9.cl/84t1q
Calvo, L., & Ufarte, M. (2020). Percepción de docentes universitarios, estudiantes, responsables de innovación y periodistas sobre el uso de inteligencia artificial en periodismo. El Profesional de la Información, 29(1). https://doi.org/10.3145/epi.2020.ene.09 DOI: https://doi.org/10.3145/epi.2020.ene.09
Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage Publications
Cué, M., & Oramas, J. (2008). Síntesis de información y artículos de revisión. https://n9.cl/13zjo
Elgammal, A., & Mazzone, M. (2020). Artists, Artificial Intelligence and Machine-based Creativity in Playform. https://n9.cl/i5hnq DOI: https://doi.org/10.7238/a.v0i26.3366
García, F. (2022). Desarrollo de estados de la cuestión robustos: Revisiones Sistemáticas de Literatura. https://n9.cl/n6d6do
Gardner, H. (2001). La inteligencia reformulada. Las inteligencias múltiples en el Siglo XXI. Barcelona. Paidós. https://n9.cl/uqc3r
Gardner, J., O´leary, M., & Yuan, L. (2020) Artificial Intelligence in Educational Assessment: 'Breakthrough? Or Buncombe and Ballyhoo?' https://ouci.dntb.gov.ua/en/works/4NmmYBx7/
Kumar, P., Petla, R., Elangovan, K., & Kuppusamy, P. (2022). Revolución de la inteligencia artificial en la logística y la gestión de la cadena de suministro. https://n9.cl/orla1
López, E., & Ouariachi, T. (2020). An exploration of the impact of artificial intelligence (AI) and automation for communication professionals. Journal Of Information Communication And Ethics In Society, 19(2), 249-267. https://doi.org/10.1108/jices-03-2020-0034 DOI: https://doi.org/10.1108/JICES-03-2020-0034
Mosteiro, M., & Porto A. (2017). La investigación en la educación. UESC. https://n9.cl/m8e48
Norvig, P., & Russell, S. (2010). Artificial intelligence: A modern approach. Upper Saddle River: Prentice Hall. Pearson. https://n9.cl/qrbzg
Robledo, C., Castillo, L. F., & Corchado, J. M. (2022). Artificial Cognitive Systems Applied in Executive Function Stimulation and Rehabilitation Programs: A Systematic Review. Arabian Journal For Science And Engineering, 48(2), 2399-2427. https://doi.org/10.1007/s13369-022-07292-5 DOI: https://doi.org/10.1007/s13369-022-07292-5
Robson, C. (2011). Real World Research: A Resource for Social Scientists and Practitioner-Researchers (3rd ed.). Wiley.
Torres, A. (2019). Inteligencia Artificial y Creatividad: Un Enfoque Innovador. Editorial Innovatec.
Ufarte, M. J., & Manfredi, J. L. (2019). Algoritmos y bots aplicados al periodismo. El caso de Narrativa Inteligencia Artificial: estructura, producción y calidad informativa. Dialnet. https://n9.cl/w4f6y
Universidad de Granada (2020). Plan de adaptación de la enseñanza en el curso 2020-2021 a las medidas sanitarias derivadas de la pandemia de la covid-19. Universidad de Granada. https://n9.cl/1qvtv
Valdivia, A. K. C. (2022). Entre el derecho y los sistemas creativos: una nueva dimensión del diseño de moda por medio de la inteligencia artificial. Revista de Derecho Privado, 43, 353-386. https://doi.org/10.18601/01234366.43.14 DOI: https://doi.org/10.18601/01234366.43.14
Van Manen, M. (1990). Researching Lived Experience: Human Science for an Action Sensitive Pedagogy. State University of New York Press. https://philpapers.org/rec/VANRLE-2
Yamashita, T. (2023) Jobs at Risk of Automation in the USA: Implications for Community College. 1000 Hilltop Circle. https://n9.cl/ak8km
Únete a nuestro canal de Telegram para recibir notificaciones de nuestras publicaciones
