Innovative Application of Excellent Traditional Chinese Culture in Moral Education in the Era of Big Data in Universities

To address the issues of low knowledge dissemination efficiency and insufficient learning interest in traditional cultural education, this study designed and implemented an intelligent teaching system based on deep learning. The system constructed a multi-modal resource library using the BERT model, achieving intelligent processing of 850,000 ancient literature articles with a knowledge association accuracy rate of 89.5%. Through adaptive learning algorithms, personalized teaching was provided, and students' knowledge mastery increased by 38.7%. The system supports concurrent access for 50,000 users, with a stability of 99.99%, providing a practical reference for the informatization of traditional cultural education.