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Learning Painting Styles through AI

Author

Listed:
  • Maria Georgala

    (Harokopio University of Athens, Greece)

  • Aikaterini Stratigi

    (University of the Aegean, Greece)

  • Pelagia Tampakaki

    (Athens School of Fine Arts, Greece)

Abstract

The aim of this study was to facilitate students’ understanding of painting styles through the creative use of Artificial Intelligence (AI) tools. Secondary objectives included the imaginative integration of AI into school curricula and the interdisciplinary use of emerging Information and Communication Technology (ICT) tools Students initially created paintings in specific artistic styles using AI software. All artworks were collected and displayed on a virtual Padlet wall. Subsequently, students participated in a Kahoot game in which they were asked to identify the likely painter of AI-generated paintings. In the final stage, students developed educational applications focusing on different painting styles. The project involved 67 first-grade lower secondary school students (Grade 7). The findings indicate that students achieved a better understanding of painting styles, improved their ICT skills, and engaged creatively with AI technologies. The study demonstrates that the use of AI tools in art education can effectively support learning about artistic styles while simultaneously fostering digital competencies and interdisciplinary learning.

Suggested Citation

  • Maria Georgala & Aikaterini Stratigi & Pelagia Tampakaki, 2025. "Learning Painting Styles through AI," European Journal of Engineering and Technology Research, European Open Science, vol. 1(CIE), pages 80-83, March.
    • Handle: RePEc:epw:ejeng0:v:1:y:2025:i:cie:id:70020
    DOI: 10.24018/ejeng.2025.1.CIE.70020
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