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International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Abstract

The integration of Artificial Intelligence (AI) in the art history classroom offers transformative opportunities for students through accessibility, engagement, and skill development. This paper explores how AI can democratize access to art history education by providing cost-effective tools that eliminate traditional barriers, such as expensive textbooks, inaccessible archives, or costly field trips. AI-powered platforms like visual recognition software and adaptive learning tools enable students to engage with material more deeply, allowing for personalized learning pathways and interactive explorations of art and its contexts. Beyond content delivery, incorporating AI fosters critical digital literacy, equipping students with the skills to navigate and critique emerging technologies responsibly. Students learn to analyze biases in AI algorithms and develop ethical frameworks for using AI in academic and professional contexts. These capabilities are vital in an era increasingly defined by digital scholarship. This presentation will include case studies of successful AI implementations in art history courses, such as AI-assisted analysis of visual motifs, the use of generative AI for creative reinterpretations of historical works, and digital field trips using Google Arts and Culture. It will conclude with best practices for educators seeking to integrate AI tools effectively, ensuring that technological innovation enhances rather than overshadows the discipline’s rich humanistic core.

A link to a video of Analisa Sovern-Reed's presentation can be found below in the Additional Files section.

Additional Files
soverns-reed.mp4 (259581 kB)
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