The Application of Big Data-Based Teaching Platform in Chinese Traditional Culture Learning Under Artificial Intelligence

In this article, the author aimed to design a teaching platform for Chinese traditional culture that leverages artificial intelligence technology and big data, as well as to evaluate its effectiveness and advantages in the educational field. Initially, personalized recommendation algorithms, the knowledge graph, and semantic analysis techniques were adopted to construct the overall framework of the teaching platform. Subsequently, the specific functions of these components were implemented. The personalized recommendation algorithm analyzed students' learning habits and interests to recommend learning resources that meet their individual needs. The knowledge graph and semantic analysis techniques utilized big data to analyze students' learning behaviors and states to provide intelligent learning support. Lastly, experiments were conducted using the Chinese-poetry dataset. The results demonstrated that the model exhibits significant advantages in performance metrics such as accuracy, precision, recall, and F1 score.