Research on Teaching Resource Aggregation Based on Artificial Intelligence and Knowledge Graph
摘要
With the rapid development of information technology, the demand for aggregation and integration of teaching resources in the education field is becoming increasingly prominent. This paper proposes an innovative teaching resource aggregation method based on new artificial intelligence algorithms and knowledge graph technology. It utilizes artificial intelligence algorithms to mine and classify various teaching resources, establishes a repository including multiple subjects and difficulty levels, and leverages knowledge graph technology to construct a network of associations for teaching resources, achieving interconnectedness and semantic expression of resources, and enhancing the efficiency of resource discovery and utilization. Through practical application, the effectiveness and practicality of this method in teaching resource aggregation have been confirmed, providing new ideas and methods for the integration of teaching resources in the education field, and promoting the development of informatization and intelligence in education and teaching.