2026-06-04T02:49:36Zhttps://riubu.ubu.es/oai/request

oai: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

Students’ Attitudes Towards AI and How They Perceive the Effectiveness of AI in Designing Video Games Sáez Velasco, Sara Alaguero Rodríguez, Mario Rodríguez Cano, Sonia Delgado Benito, Vanesa Generative artificial intelligence Attitude towards artificial intelligence Arts education Higher education Arte generado con inteligencia artificial Enseñanza superior AI art Education, Higher 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 We would like to thank the research participants, students, and educators from the Faculty of Humanities and Communication of the University of Burgos (Spain) for their collaboration 2026-06-02T10:09:39Z 2026-06-02T10:09:39Z 2025-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://hdl.handle.net/10259/11782 10.3390/su17073096 2071-1050 eng Sustainability. 2025, V. 17, n. 7, art. 3096 https://doi.org/10.3390/su17073096 Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess application/pdf MDPI