EDUCATIONAL VALUE OF AI-POWERED FOLK ART REPOSITORIES
DOI:
https://doi.org/10.29121/shodhkosh.v6.i1s.2025.6640Keywords:
Artificial Intelligence, Folk Art, Cultural Heritage, Art Education, Machine Learning, Digital RepositoriesAbstract [English]
The application of artificial intelligence (AI) to a psychological collection of folk art is one of the revolutionary methods for studying, preserving, and teaching cultural history in the digital era. AI empowered folk art repositories employ the latest technologies such as computer vision, machine learning, and natural language processing to collect, categorize, tag, and recommend various types of folk art. Not only are these sites used to safeguard endangered art forms, they also provide constantly changing accessible learning environments. AI systems can identify style trends, regional influences and elements of themes in vast collections of folk art by curating them intelligently. Through this, students can experience personalised and interactive learning experiences. This essay explores the pedagogical potential of these sorts of collections examining basic concept, development and application in the classroom. A focus is given to how AI tools are used to assist students and teachers to learn about other cultures, develop creative thinking and become more culturally literate. In addition, the study discusses how mentally and emotionally enriching it can be to engage in communication with digitally produced content that is culturally rich in its content and style. Case analysis of existing AI-based art education tools is conducted in order to provide a view of how they function and how results are realized in real-world experience. But the study also discusses important issues, including the reliability of the data, how it can be ethically represented, the limitations of technology, and how computational bias can result in culture homogenization.
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Copyright (c) 2025 Dr. Kumod Kumar Gupta, Bharat Bhushan, Pooja Goel, Dr. Jyoti Saini, Dr. Aniket Prakashrao Munshi, Amit Kumar
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