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PERSPECTIVE article

Front. Educ.

Sec. Digital Education

Volume 10 - 2025 | doi: 10.3389/feduc.2025.1621207

This article is part of the Research TopicTeaching and Assessing with AI: Teaching Ideas, Research, and ReflectionsView all 19 articles

GIFT-AI: Damn!.jpg – Visual Literacy Through Image-Making with Generative AI

Provisionally accepted
  • University of Gothenburg, Gothenburg, Sweden

The final, formatted version of the article will be published soon.

This article addresses the growing need for AI literacy by introducing a classroom activity that combines critical theory with hands-on engagement using generative AI image tools. Students were guided through theoretical framing, image selection, AI experimentation, and group analysis. The activity emphasized how prompt design shapes visual outputs and explored the implications of generative systems through selected theoretical frameworks. Results from classroom implementation indicate improved student understanding of the aesthetic and epistemological implications of AI-generated media. The exercise demonstrates how image-making can serve as both a critical and creative method for interrogating algorithmic systems across digital art, media education, visual culture, science and technology studies, and critical AI research. The following course framework outlines how the activity was implemented and contextualized within interdisciplinary learning environments.

Keywords: Generative AI, visual literacy, Art, Photography, Critical Theory

Received: 30 Apr 2025; Accepted: 18 Aug 2025.

Copyright: © 2025 Källström. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Klara Källström, University of Gothenburg, Gothenburg, Sweden

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