Optimizing the Curriculum System and Teaching Resource Allocation in Universities Based on Data Mining Algorithms

Abstract

In the current development of higher education and the management dilemma of university curriculum system and teaching resource allocation, this article analyzes the optimization of university curriculum system and teaching resource allocation from two perspectives based on data mining algorithms. This paper aimed to optimize the allocation of curriculum system and resources by using data mining algorithm and analyzing the curriculum system and teaching resources in universities. Firstly, based on data mining algorithms, clustering algorithms were used to partition and optimize the university curriculum system. The reconfiguration of teaching resources was achieved through association rule algorithms. Finally, the optimized curriculum system was matched with the optimized resources to achieve the optimal matching output. The experimental data showed that the integration accuracy of teaching resources reached 96%, and the time taken was 1.5 seconds. Therefore, data mining could play a great role in the allocation of teaching resources in universities.