Study on the reform of “online and offline” mixed music education model under the 5G of the times

Abstract

In order to improve the ability of “online and offline” mixed music education integration and information fusion under the background of 5G times, combined with the big data information processing method to reform the educational model, this paper proposes an optimization fusion method of “online and offline” mixed music education model under the background of 5G times based on multi-dimensional association feature fusion and cluster analysis. Establishing “online and offline” mixed music education resources big data information collection model, combining association rule mining method to “online and offline” mixed music education resources information mining and big data fusion processing, using fuzzy information clustering method to collect “online and offline” mixed music education resources information grid region clustering, through statistical analysis method to establish “online and offline” mixed music education information template matching model, Combined with multi-dimensional association feature fusion and spatial reconstruction technology for 5G era background “online and offline” mixed music education resources information integration and pattern recognition, Carry out the reform of “online and offline” mixed music education mode under the background 5G times under the environment of big data. Simulation results show that the “online and offline” mixed music education resources integration performance is better under the background of 5G, the feature matching ability is stronger, the data mining and information fusion degree is higher, which improves the reliability and mode optimization of mixed music education.