2026-04-28T03:58:41Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/104232025-04-12T00:05:19Zcom_10259.4_2498com_10259_5086com_10259_2604com_10259_4839col_10259.4_2499col_10259_4840
Repositorio Institucional de la Universidad de Burgos
author
Sáez Velasco, Sara
author
Alaguero Rodríguez, Mario
author
Rodríguez Cano, Sonia
author
Delgado Benito, Vanesa
2025-04-11T07:55:41Z
2025-04-11T07:55:41Z
2025-04
2071-1050
http://hdl.handle.net/10259/10423
10.3390/su17073096
2071-1050
The aim of this paper is to find out what the attitudes of higher education students in arts education are towards generative AI and how this relates to their use of it in their academic/professional practice. This is a case study and an exploratory, descriptive and correlational quantitative research study, the methodology of which allows us to determine the vision of the sample of participants in relation to the subject. The design consists of three phases: (1) students complete an Attitude Towards Artificial Intelligence (ATAI) scale; (2) they then create two sketches as a collage of images to be used as visual references for a future digital illustration, one using images from the internet and the other using a generative AI tool; and (3) finally, students complete a questionnaire on their perception after using the generative AI tool used in the activity. The results show significant relationships between attitudes towards AI and perceptions of its effectiveness, efficiency, creativity, and design autonomy. It seems that the attitude with which students approach AI tools is a determining factor when it comes to using them in design tasks and can contribute to quality education.
eng
Atribución 4.0 Internacional
Generative artificial intelligence
Attitude towards artificial intelligence
Arts education
Higher education
Students’ Attitudes Towards AI and How They Perceive the Effectiveness of AI in Designing Video Games
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/10423/1/Saez-sustainability_2025.pdf
File
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f98b34a257d240f57417977ee98b2edd
241932
application/pdf
Saez-sustainability_2025.pdf