Study on comprehensive management of online learning resources for digital education and teaching reform

In order to improve the efficiency of utilising online learning resources and the quality of students' learning, this paper proposes a comprehensive management method for online learning resources aimed at digital education and teaching reform. Firstly, this paper provides a detailed explanation of the definition, classification, and application of online learning resources in education. Furthermore, this paper conducts an in-depth analysis of the resource merging and classification problems and recommendation issues in current online learning resource management, and points out the challenges of these problems. On this basis, this paper adopts an adaptive sliding window mutual information method to extract the features of network learning resources, thereby achieving resource merging and classification management. The experimental results show that under the background of digital education and teaching reform, the method proposed in this paper can not only effectively classify and manage online learning resources.