Optimization of Teaching Resource Allocation in Music Civics Courses under Multi-Attribute Decision Modeling
DOI:
https://doi.org/10.70917/ijcisim-2026-1112Keywords:
hierarchical analysis method; entropy weight method; multi-attribute decision-making model; teaching resource allocation; music and civic politics courseAbstract
The optimization of the allocation of teaching resources in music civics and politics courses helps to implement the fundamental task of cultivating morality, enhance the moral education function of music education, and cultivate students' critical thinking and innovation ability. Based on the scientific and operable evaluation index system of teaching resources allocation efficiency of music civics and politics courses, the article combines the hierarchical analysis method and entropy weight method to assign weights to the first and second level indexes in the index system respectively. Taking 8 music courses in school A as an example, a multi-attribute decision-making model based on the VIKOR method is introduced to realize the evaluation of the efficiency of teaching resource allocation for music civics courses, and the decision-making mechanism of the VIKOR method in the model is further sensitized to dig out the optimization strategy of teaching resource allocation for music civics courses. The results of the comprehensive quality assessment of course resource allocation based on the multi-attribute decision-making model can be obtained, and the values of the ratio of interests of teaching resource allocation for music Civics and Politics courses of the eight courses in School A are mainly concentrated between 0.3-0.4. Therefore, in-depth integration of music education and civic education can be realized through in-depth excavation of civic elements, close integration of course content and civic education, and rational allocation of teaching resources.
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Copyright (c) 2026 Ao Zeng

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