Student Attitudes Towards the Integration of Artificial Intelligence in Applied Decorative Arts Education: A Study Based on The Technology Adoption Model (TAM) In the Context of Uzbek National Decorative Arts
DOI:
https://doi.org/10.55640/jsshrf-06-06-05Keywords:
Artificial intelligence, generative AI, paintingAbstract
This research investigates the factors influencing the adoption of artificial intelligence technologies in applied decorative arts education, based on the Technology Adoption Model (TAM). The model was expanded with the constructs of concern for artificial intelligence, supportive conditions, and cultural heritage. Data were collected via a questionnaire and analyzed using the PLS-SEM method. The results revealed that perceived ease of use, perceived usefulness, and attitude are key factors in the adoption of artificial intelligence technologies, while concerns for cultural heritage significantly influence student attitudes. The scientific novelty of this research lies in adapting the Technology Adoption Model to the context of Uzbek national decorative arts education and substantiating concern for cultural heritage as an independent construct. The findings serve to improve the digitalization processes within applied decorative arts education.
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