Integrating data mining with internet of things to build the music project management system

Abstract

The purpose of this study is to improve the teaching quality of music classrooms more scientifically, track the learning status of students, and manage teaching resources and teaching projects more efficiently, thus improving the teaching effect. In this study, the Internet of Things technology and data mining technology was applied to develop and design the project teaching method management system, which effectively manages the teaching work under the open laboratory project teaching method, the statistical teaching log of teachers, and the comprehensive management of teachers and students and teaching resources. The dual-chip compound RFID school badge with unique identification, remote identification, information storage and other one-card functions designed on the perception layer is used to realize the comprehensive induction of different activity states of teachers and students in the classroom, laboratory and training base. After that, the Internet, campus network, local area network and other technologies are used to realize the storage, exchange and sharing functions of campus data and cloud data, which is conducive to the non-differentiated management of different places. Finally, when processing information and data in the cloud, corresponding countermeasures can be formulated according to different locations and teaching activities, and existing resources can be mobilized to meet teaching requirements. The results showed that after applying the system proposed in this study, the students' attendance rate, evaluation of teaching satisfaction, average assessment scores, and teaching resource utilization rate in the classroom have been significantly improved. Therefore, this study has great practical application value in music teaching.