DEEP LEARNING DRIVEN SMART EDUCATION: TEACHING MANAGEMENT MECHANISM BASED ON METAVERSE AND BIG DATA ANALYSIS

With the application of the metaverse and extended reality, education in the era of Artificial Intelligence (AI) will be greatly enhanced. However, how to apply this new technology to the smart education management mechanism is still a big challenge. In this paper, we use intelligent technology to empower education and propose a new method of teaching management and attendance. Specifically, we combine intelligent self-powered sensors and deep learning methods to propose a face recognition model with improved multi-level feature fusion. First, we employ the sparse coding algorithm to extract primary low-level features of face images. Second, we utilize a convolutional neural network model to learn high-level features. At the same time, we take intelligent self-powered sensors to collect data from remote scenarios. Finally, the face is recognized and classified based on the extracted feature knowledge vector. The experimental results on two datasets show that our method has a good recognition performance.