Online mode development of Korean art learning in the post-epidemic era based on artificial intelligence and deep learning

This study aims to explore the establishment of an online platform for Korean art learning in the post-epidemic era and propose a personalized intelligent art learning model based on artificial intelligence (AI) and neural network technology. Firstly, an online platform for Korean art learning and communication is established, which offers a flexible and convenient learning environment for learners. Secondly, a personalized intelligent art learning model based on AI is proposed. It combines hidden representation and its characteristics through learners' personalized characteristics and historical learning records to provide resources suitable for learners. Finally, the recommendation method of art learning resources based on a neural network is adopted. The relationship between resources is inferred using a neural network model, and accurate recommendation is made according to learners' personality characteristics. In addition, this study also explores the innovative application of deep learning (DL) and super-automated AI methods on the online Korean art learning platform. The innovation and novelty of this study lie in the combination of DL and super-automated AI methods to achieve innovation and progress on the online Korean art learning platform. The application of the DL algorithm can comprehensively analyze learners' personality characteristics and learning needs and provide personalized learning resources and suggestions based on this information. At the same time, introducing super-automated AI methods will make the recommendation of learning resources more accurate and efficient, offering learners a better learning experience and results. The experimental results show that the average score of the experimental group is 87.9202 before and 91.1305 after the experiment through the intelligent art learning system, and the learners have made remarkable progress in art learning. Learners' learning styles have been effectively recognized and satisfied, the satisfaction score of the learning environment is high (4.3 ~ 4.9 points), and their problem-solving ability has been significantly improved. It shows that the intelligent art learning system established here is vital and effective for Korean art learning in the post-epidemic era.