The Music Contextual Teaching Method: A Study on the Practical Approaches of How Musical Elements Facilitate Immersive Learning of Historical Knowledge from an Interdisciplinary Integration Perspective

Abstract

Music contextual teaching is increasingly emphasized by the educational community. This paper builds a music teaching system architecture for audio processing. Kinect is used to obtain the music teaching scene data, correct the depth camera and color camera, and use OpenNI for coordinate conversion to transform the two-dimensional depth data into a three-dimensional spatial point cloud. The virtual scene 3D modeling data is rendered to generate the free viewpoints of the music teaching 3D classroom. The results show that the method in this paper obtains a good post-alignment positional attitude for the point cloud of the classroom object, the average MAE is only 3.538, and the average alignment time is 31.84 ms. Meanwhile, the classroom reconstruction positional error of this paper's algorithm is reduced by 39.43% on average compared with that of the BundleFusion algorithm. Through the teaching experiment, the historical knowledge achievement using virtual reality teaching improved by 9.23 points on average, which is a significant achievement improvement compared to traditional teaching methods.