Remote Vocal Singing Course Design Based on Embedded System and Internet of Things

Abstract

Distance learning, a new style of teaching, can create a strong sensation of presence through real and vivid communication. It is set to reach a communication effect of deep impression and a lasting memory. It can also obtain students’ course learning records in a timely manner. Students can adjust the teaching content through various learning feedback to meet the requirements of learners. However, for those traditional courses that must be taught in person, such as vocal singing teaching, there is an urgent need to adapt to the new distance learning model. In the teaching methodology of vocal singing, there are often high requirements for equipment in terms of sound, such as radio, encoding, and playback. However, there are very few requirements for images. Nowadays, the distance course platform cannot meet the basic content of vocal teaching. It is even more unable to promote teaching according to the material and personalized teaching. Therefore, this paper proposes a remote vocal singing course design based on an embedded system and the Internet of Things. The research paper meets the basic vocal teaching needs in terms of not only hardware but also remote learning. It can improve student motivation. Combined with network technology, it greatly stimulates students’ sensory thinking of learning. It also improves the teachers’ understanding of students’ singing skills and personalized teaching strategies for different students with specified content. According to their own learning aptitude and learning history, the system may select the instructional materials that the students have not learned. It may provide pupils with the best learning option based on their past selection records. Distance education may give a tailored interface using artificial intelligence. In conclusion, the distance learning system based on the AI networks project is feasible.