Abstract

This study examines the role of artificial intelligence in the interpretation of religious iconography
in art education. Religious iconography, which involves the use of visual symbols and images to
represent religious beliefs, has historically served as an important means of communicating
spiritual ideas, cultural values, and sacred narratives. Traditionally, the interpretation of these
symbols has relied on the knowledge and expertise of art historians, educators, and scholars of
religion who analyse visual elements such as colour, gesture, composition, and symbolic objects
within artworks. However, recent technological advancements have introduced artificial
intelligence as a powerful tool for analysing visual data and supporting art interpretation. AI
technologies such as machine learning and computer vision can analyse digital images of artworks,
detect recurring visual patterns, and assist in identifying symbolic motifs within religious paintings
and sculptures. The study adopts an exploratory research design and utilises oral interviews and
focus group discussions to gather insights from participants on the influence of AI in art education.
Findings reveal that AI-based tools can enhance students' visual literacy and analytical skills by
enabling them to explore large digital collections of artworks and identify iconographic patterns
more efficiently. AI-generated artistic content also provides opportunities for creative
experimentation and comparative analysis in the classroom. However, the study concludes that
while AI can support visual analysis, human interpretation remains essential for understanding the
historical, cultural, and theological meanings embedded in religious iconography (200 words).

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