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AI-Design in Typographic Education: Student Perceptions in Creative Degrees on the Use of Generative Artificial Intelligence

Autores

Martin-Ramallal, Pablo , MICALETTO BELDA, JUAN PABLO, Bertola-Garbellini, Dr. Andrea

Publicación externa

No

Medio

Rev. Mediterr. Comun.

Alcance

Article

Naturaleza

Científica

Cuartil JCR

Cuartil SJR

Fecha de publicacion

01/01/2026

ISI

001656582500021

Abstract

Purpose. To analyze the perception of students in creative undergraduate programs regarding the use of generative artificial intelligence (AIGen) tools in typographic design learning. Methodology. A mixed-method approach was used based on project-based learning with 102 students from artistic subjects. Participants created typographic prototypes using tools such as DALL-E, Midjourney, and ChatGPT, and evaluated their experience through a Likert-scale questionnaire. Results and Conclusions. Findings show a predominantly positive attitude towards AIGen, highlighting its potential to foster creativity, shorten production time, and enhance the learning experience, though concerns regarding authorship, ethics, and employability were also noted. Novelty. This exploratory study provides an initial framework for understanding the educational impact of AI-Design in university-level creative disciplines, opening a new line of research on the intersection between artificial intelligence, creativity, and pedagogy.

Palabras clave

AI-Learning; Artificial Intelligence; Graphic Design; Typography; University

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