Design and Implementation of a Digital Art Education Platform Based on AI and Cloud Technologies

With the rise in demand for creative talents by the digital sector, the global art education sector has grown to a market value of $62.7 billion. Because of a combination of poor infrastructure and a lack of artistic teachers, access to high-quality art education is lacking in both low-income communities and rural areas. The study details how an AI-driven digital art learning system was developed using cloud technology to help resolve inequality in educational opportunities. The platform is made up of three separate modules. The solution consists of a user-friendly front-end, an AI module relying on ResNet-50 and VGG-19 networks for stylistic. The six-month A/B test of 150 students and 20 instructors provided quantitative data, which was merged with qualitative user feedback by the researchers. Students were more engaged on the platform, with a 35% increase, and completion rates increased by 37%, while instructors experienced a 64.3% decrease in their tasks. The AI system showed an accuracy of 92% for style-based feedback, and it matched the evaluations of experts very well. The platform's latency was reduced by 85%, resulting in better real-time collaboration and interactive capacities. Integrating AI and cloud technologies leads to greater accessibility and stronger results in learning and teaching in art education classes. In pursuit of its mission, the platform works to achieve equitable education by complying with UNESCO's Sustainable Development Goal 4 standards.