2026-06-04T01:50:50Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/117822026-06-03T00:05:32Zcom_10259.4_2498com_10259_5086com_10259_2604com_10259.4_2543com_10259_4839col_10259.4_2499col_10259.4_2544col_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
2026-06-02T10:09:39Z
2026-06-02T10:09:39Z
2025-04
https://hdl.handle.net/10259/11782
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/10259/11782/1/Saez-SUST_2025.pdf
File
MD5
f98b34a257d240f57417977ee98b2edd
241932
application/pdf
Saez-SUST_2025.pdf