This paper proposes a big data intelligent teaching system for teachers and students of the whole school. The core function of the education cloud system is to collect various service data using the network, sensors and other devices, and store service data in large storage devices. The students were tested using a fusion collection algorithm of multiple features. 4.49% of the students gave a high evaluation after the trial of this platform. It has been proved that this system can greatly improve communication in spare time, and its application effect is also relatively good. Through the implementation of this project, the problem of storing massive teaching information resources can be solved well. Teaching resources are available to anyone, anywhere, anytime. It can solve the problem that the data storage in the current network is too large, which leads to the user's access delay, and the legitimacy, integrity and availability of the data are not guaranteed. This method improves the performance of permanent storage of educational data.
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Gong Yilin (2024) studied this question.
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