E-learning application in immersive music entertainment teaching system based on genetic network algorithm

•The research has established an immersive music entertainment teaching system.•A genetic network algorithm is used to optimize the e-learning modules in the system to improve the personalization and interactivity of the learning process.•By collecting students' learning data and feedback information and using it as input to genetic network algorithms. The problem of traditional music teaching is that students' interest and participation in learning are not high, which leads to the decline of teaching effect. Therefore, this study proposes an e-learning approach based on genetic network algorithms, aiming to enhance students' learning experience and engagement through an immersive music entertainment teaching system. The research has established an immersive music entertainment teaching system, which combines virtual reality technology to provide an immersive music learning environment. A genetic network algorithm is then used to optimize the e-learning modules in the system to improve the personalization and interactivity of the learning process. By collecting students' learning data and feedback information and using it as input to genetic network algorithms to update the parameters and structures in the learning module. The results show that e-learning based on genetic network algorithm has achieved remarkable results in an immersive music entertainment teaching system. When using the system for music learning, students showed higher enthusiasm and investment in learning, and achieved better academic performance. Students' experience and satisfaction with the system were also improved.