Construction and Implementation of Curriculum Knowledge Bases by Integrating New Educational Resources

Abstract

With the development of information technology (IT), the educational field has gradually entered a modernization stage. In this context, it is important to effectively integrate various educational resources to further improve teaching quality. However, existing methods of constructing curriculum knowledge bases face many challenges in several aspects, such as data fusion, knowledge reasoning, and so on. To address these issues, this study conducted in-depth research and practice on the construction of curriculum knowledge bases in the educational modernization field. The main content of this study includes the data fusion and knowledge reasoning of curriculum knowledge bases and the intelligent Q&A framework design of the bases in the educational modernization field. In the data fusion part, an entity alignment method based on semantic similarity was adopted, which effectively solved the problem of semantic relationship fusion between entities. In the knowledge reasoning part, the option-aware network based on attention mechanisms was used to significantly improve the accuracy and efficiency of reasoning. As part of the intelligent Q&A framework design, a sequence-to-sequence machine translation model was adopted, which intelligently queried the knowledge bases successfully and provided customized teaching content, thereby optimizing the learning process. This study provides effective theoretical and practical support for promoting educational modernization.