Online Education of a Music Flipped Classroom Based on Artificial Intelligence and Wireless Network

Abstract

Music learning is increasing day-by-day as the individual’s interest is also growing. Not all interested individuals will attend the classes in offline mode. The introduction of online education overcomes this challenge. Similar to individual learning, classroom learning in music education is taking on a new perspective in offline and online modes. This combination of online and offline teaching modes is termed the “flipped classroom.” Flipped classrooms work with the support of two major technologies, such as artificial intelligence and wireless networking. The teachers and the students interact through an interactive device aided by intelligent networking facilities. A convolutional neural network is implemented to make the system smart by providing automatic classification of course materials. The proposed model is compared with the K-means algorithm. The findings demonstrated that the flipped classroom outperformed the existing model with an accuracy of 98.25%, which is 5.01% higher than the existing algorithm.