Construction of information management model of music colleges based on big data

Abstract

Students can use the network music library to understand the connotation of works well, and their ability to perceive music can also be strengthened. The students’ music imagination space also becomes larger and larger with the enrichment of acoustic conditions. Applying big data information to the assessment of music courses forms a huge data collection in terms. Then professionalize the meaningful data to make it have power and insight. From the perspective of subject attributes, information management major, as one of the majors most related to the application of big data, focuses on information, information technology, and information systems. For comprehensive institution of higher learning, the diversification and multi-layering of big data results make it difficult to manage big data in professional music colleges. Despite the existing challenges in college music teaching, the big data era provides opportunities for teachers to enhance and optimize the educational experience. These advancements hold significant value for both students and educators. Focusing on the objectives, unique features, and limiting factors of big data in educational information management—particularly within music colleges—this paper proposes a model designed to support high-quality decision-making in information management.