Research on the Application of Artificial Intelligence in Automatic Generation of Digital Teaching Resources

This paper discusses the application of artificial intelligence (AI) in the automatic generation of digital teaching resources, aiming at improving teaching efficiency, optimizing resource allocation, promoting educational equity and promoting educational innovation. By constructing and optimizing AI models, such as Natural Language Processing (NLP) model based on Transformer, Convolutional Neural Network (CNN) and Generative Adversarial Networks (GAN), high-quality digital teaching resources, including courseware, exercises and video explanations, are automatically generated. These resources can be customized according to the individual needs of students, thus improving the pertinence and effectiveness of teaching. The empirical analysis shows that the resources generated by AI are better than those made by human experts in accuracy, clarity and innovation, and can significantly improve students' academic performance and interest. The study also found that the use of AI resources can provide personalized teaching support according to students' participation and mastery. Generally speaking, the application of AI in the automatic generation of digital teaching resources provides an efficient and innovative way to generate teaching resources in the field of education, which is helpful to realize the personalization and fairness of education.