Research on the Infiltration and Inheritance Strategy of Chinese Traditional Music Culture in Higher Vocational Vocal Music Teaching
DOI:
https://doi.org/10.70917/ijcisim-2026-1009Keywords:
named entity recognition; entity relationship extraction; knowledge graph; traditional music culture; higher vocational vocal music teachingAbstract
The practical application of traditional music culture in higher vocational vocal teaching can not only stimulate students' interest in vocal learning and give them a more comprehensive understanding of vocal knowledge, but also help students improve their own vocal perception ability and comprehensive vocal literacy. In this paper, oriented to the field of traditional music culture, we design and validate the named entity recognition algorithm based on the BERT-BILSTM-CRF model and the entity relationship extraction model based on the BERT-BiLSTM-Att to complete the visualization of the creation of the knowledge map of Chinese traditional music culture. On this basis, the online-offline hybrid vocal music teaching mode for higher vocational education that integrates the knowledge graph is constructed, and teaching experiments are conducted to investigate the effect on the inheritance of traditional Chinese music culture. The experiment shows that after the intervention of using the vocal music teaching method incorporating traditional music culture knowledge mapping, the students' mastery of traditional music culture knowledge, traditional music culture literacy, and vocal singing ability are significantly improved (P<0.05), and are better than the traditional teaching method, i.e., the method helps students to improve their own vocal music perception ability and comprehensive vocal music literacy. Based on this study, it is expected to help improve the teaching level of vocals in higher vocational education and the inheritance and development of Chinese traditional music culture.
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Copyright (c) 2026 Shifang Yang

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