Intelligent Construction of the Curriculum System of Master of Arts in Music in the Framework of Great Civic and Political Education Based on Knowledge Mapping
DOI:
https://doi.org/10.70917/ijcisim-2025-0285Keywords:
knowledge graph; entity-relationship extraction; neural network; pre-trained language model; music professional curriculumAbstract
At present, the use of music teaching on college students' nurturing in the context of big ideology and politics in colleges and universities is still deficient, and most professional teachers ignore the nurturing function in music courses. Therefore, this paper adopts the graphical semantic network in the knowledge graph to represent the concepts and the interrelationships between the concepts, to be an in-depth study and research on the extraction of entity relations. Through the neural network model as well as the pre-trained language model, the text is vectorized and represented. The input layer, feature extraction layer and feature reuse layer of the model are constructed sequentially, and the loss function is introduced to improve the relationship extraction model based on entity information and feature reuse, and the model is applied to the education of music professional courses under the framework of the Big Ideology and Politics. The performance of the model is evaluated, and the average values of P value, R, and F1 of the model are 0.932, 0.945, and 0.939, respectively, and the performance of the model is good. After a period of time after the music classroom integrating the elements of ideology and politics, the students' cultural self-confidence increased by as much as 9.38%, and the degree of understanding of core values increased by 6.14%, which indicates that the construction of music professional curriculum under the framework of the Great Ideology and Politics Education has achieved good results.
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Copyright (c) 2025 Yu Xia, Fumei Xu

This work is licensed under a Creative Commons Attribution 4.0 International License.