2026-10-25T20:09:22Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/111312025-12-13T01:05:45Zcom_10259_4415com_10259_3989com_10259.4_106com_10259_2604col_10259_4416
Repositorio Institucional de la Universidad de Burgos
author
Sáez Velasco, Sara
author
Alaguero Rodríguez, Mario
author
Delgado Benito, Vanesa
author
Rodríguez Cano, Sonia
2025-12-12T11:49:11Z
2025-12-12T11:49:11Z
2024-06
2227-9709
https://hdl.handle.net/10259/11131
10.3390/informatics11020037
2227-9709
Generative AI refers specifically to a class of Artificial Intelligence models that use existing data to create new content that reflects the underlying patterns of real-world data. This contribution presents a study that aims to show what the current perception of arts educators and students of arts education is with regard to generative Artificial Intelligence. It is a qualitative research study using focus groups as a data collection technique in order to obtain an overview of the participating subjects. The research design consists of two phases: (1) generation of illustrations from prompts by students, professionals and a generative AI tool; and (2) focus groups with students (N = 5) and educators (N = 5) of artistic education. In general, the perception of educators and students coincides in the usefulness of generative AI as a tool to support the generation of illustrations. However, they agree that the human factor cannot be replaced by generative AI. The results obtained allow us to conclude that generative AI can be used as a motivating educational strategy for arts education.
eng
Atribución 4.0 Internacional
Generative artificial intellligence
Artificial intelligence in education
Educational technology
Arts education
Higher education
Analysing the Impact of Generative AI in Arts Education: A Cross-Disciplinary Perspective of Educators and Students in Higher Education
info:eu-repo/semantics/article
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URL
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File
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Saez-informatics_2024.pdf