Affiliations: [a] School of Science and Data, Yantai Nanshan University, Yantai, Shandong, China | [b] Jiangxi Science and Technology Normal University, Nanchang, China
Correspondence:
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Corresponding author: Lixin Sun, School of Science and Data, Yantai Nanshan University, Yantai, Shandong, China. E-mail: [email protected].
Abstract: With the rapid development of the information age, big data technology has been widely penetrated into various industries, and has brought profound impact on its structure and operation mode. In the field of music education, big data provides advanced tools and platforms for teaching, and provides a new perspective for the formulation of music teaching strategies and the sharing of educational resources. The purpose of this study is to deeply study the music teaching strategies based on big data and make a comparative analysis with traditional strategies. Based on an extensive literature review, this study summarizes the basic concepts, core features and applications of big data in music teaching. In order to have a more comprehensive understanding of the actual effects of big data in music teaching, we designed a series of experiments to compare the performance of music teaching strategies based on big data and traditional strategies in terms of student learning outcomes, learning engagement, student satisfaction, teaching progress and efficiency. The results show that the music teaching strategy based on big data can better meet the personalized learning needs of students, improve the learning engagement, and significantly improve the teaching effect and the quality of resource sharing. This study provides scientific ideas and methods for music teaching, and hopefully provides beneficial enlightenment for the application of big data technology in the field of education.
Keywords: Big data, music teaching strategy, educational resource sharing
