AI-Powered Online Hybrid Platform for Learning and Applying Chinese Painting Techniques

AI's rapid progress has led to its widespread use in a variety of sectors, including education, art, and learning. Environmental art design thinking allows students to think creatively and apply what they have learnt. Several challenges, including a lack of quantitative research and an inadequate index system, make it impossible to improve the teaching capacities of technical art design courses, despite advances in smart technology. To help Chinese painting embrace AI-oriented art education, develop intelligent teaching methodologies, and improve knowledge and settings for AI-oriented art education, this study suggests an AI-HTP, an artificial intelligence-based hybrid teaching platform. This study makes full use of the benefits of networked education and traditional teaching approaches using artificial intelligence. It aims to find the most significant aspects of teaching oil painting by examining the use of AI technology in this field. To recognize minor aesthetic qualities, a convolutional neural network (CNN) model is trained on images from several sources. This strategy encouraged kids to think positively and seek fresh information on their own. The use of AI in design programs is getting increasingly prevalent. The art design industry should support and aggressively embrace this development trend. Create and execute unique techniques to training aspiring creatives and designers while improving the quality of existing programs. With AI-HTP, schools can investigate how to adjust art and design programs to the needs of their students.