Generative AI in Higher Education: Student Perceptions and a Teaching Framework for Creative Interactive Content Design

This study examines the role of generative artificial intelligence in higher education, focusing specifically on creative degree programs and students’ perceptions of its academic and creative value. Employing a mixed-methods design, data were collected from 555 university students enrolled in communication- and design-related degrees in Spain. By combining an online survey with focus groups, the research analyzed the frequency, purposes, and meanings of AI use in academic tasks. The results show that students primarily use generative AI to clarify concepts, develop ideas, review literature, and support academic production. Although they acknowledge its utility as a learning tool, participants also raised concerns regarding overreliance, reduced creative effort, unreliable outputs, and potential threats to originality and authorship. Consequently, the study concludes that while generative AI is already influencing learning practices in higher education, its educational potential relies heavily on clear pedagogical guidance, ethical implementation, and active teacher mediation. Based on these findings, the article proposes a ten-step teaching framework for AI-supported creative interactive content design, aimed at fostering pedagogical innovation while preserving critical thinking, creativity, and student authorship.

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Publication Details

Journal
Education Sciences
Published
2026-08-20
DOI
https://doi.org/10.3390/educsci16081337
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Generative AI in Higher Education: Student Perceptions and a Teaching Framework for Creative Interactive Content Design

Belén Mainer Blanco, Ana Pérez-Escoda
Education Sciences
Artificial Intelligence in Healthcare and Education
article

Generative AI in Higher Education: Student Perceptions and a Teaching Framework for Creative Interactive Content Design

Belén Mainer Blanco, Ana Pérez-Escoda
article en

Abstract

This study examines the role of generative artificial intelligence in higher education, focusing specifically on creative degree programs and students’ perceptions of its academic and creative value. Employing a mixed-methods design, data were collected from 555 university students enrolled in communication- and design-related degrees in Spain. By combining an online survey with focus groups, the research analyzed the frequency, purposes, and meanings of AI use in academic tasks. The results show that students primarily use generative AI to clarify concepts, develop ideas, review literature, and support academic production. Although they acknowledge its utility as a learning tool, participants also raised concerns regarding overreliance, reduced creative effort, unreliable outputs, and potential threats to originality and authorship. Consequently, the study concludes that while generative AI is already influencing learning practices in higher education, its educational potential relies heavily on clear pedagogical guidance, ethical implementation, and active teacher mediation. Based on these findings, the article proposes a ten-step teaching framework for AI-supported creative interactive content design, aimed at fostering pedagogical innovation while preserving critical thinking, creativity, and student authorship.

Education SciencesVol. 16(8)
Universidad Francisco de Vitoria (ES)
Universidad Francisco de Vitoria
Openalex Percentile: Top 13%
Artificial Intelligence in Healthcare and Education
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