Research on Resource Aggregation Method Based on Knowledge Correlation

Abstract

With the rapid growth of digital learning resources, the problem of learners' information overload has become increasingly prominent. Aiming at the problem of resource aggregation and personalized needs in digital learning, this paper proposes a resource aggregation method based on knowledge element correlation. The main contributions are threefold. Firstly, to depict the correlation between learning resources and knowledge elements, this paper propose a multi-dimensional weights strategy; Secondly, to depict the relationships among knowledge points, this paper proposes a concept of hierarchical knowledge elements tuples; and thirdly, to maintain and explore the relationships of knowledge points, a mechanism of multi-views is proposed.