The rapid development of computer technology has promoted the continuous construction of the network education system. With the application of computer Big data technology, it has also played an important role in the life network classroom curriculum system. With the help of computers, the development of remote network classroom can be displayed in the form of digital transmission in the computer remote network in the intelligent terminal, and through the announcement information module, teaching resource module The communication module and collaboration module form a new course learning system, which is based on the feature extraction algorithm of the matrix. The system functions include an integrated network structure view, an importance map of edge weights, and a node attribute view. It can be presented to students in the form of diagrams in the system, effectively improving the teaching efficiency of online life education online classrooms.
Miao, Q., Xin, W., Liu, R. (2022). Graph convolution skeleton action recognition method for intelligent education behavior analysis. Computer Science, 49(1), 61-66.
Zhang, Z., & Yang, J. (2021). Online adaptive algorithm for binocular depth estimation based on meta-learning. Acta Automatica Sinica, 49(7), 1446-1455.
Yang, S. S. (2021). Research on recommendation algorithm based on comment text graph representation learning. Computer Engineering, 47(11), 82-88.
Wang, C., Zou, H., & Noble. (2022). Research on diversity recommendation algorithm based on convolutional neural network. Information Technology, 46(11), 82-89.
Li, C., Xie, L., & Pengli, B. (2022). Feature hybrid enhancement and multi-loss fusion for significance target detection. Computer Science and Exploration, 16, 2395-2404.
Ren, X.-Z., He, P., Long, Z.-R. (2021). Study on spectral CT image noise reduction based on full convolution pyramid residual network. Spectroscopy and Spectral Analysis, 41, 2950-2955. https://doi.org/xxx
Wang, G., Yuan, H., Huang, X. (2021). Network learning resource recommendation algorithm based on improved collaborative filtering. Minicomputer Systems, 42(5), 67-71.
Chen, X., & Liu, H. (2021). "Who am I": Questioning and answering life education. Research on Educational Development, 8, 65-71. https://doi.org/xxx
Zhou, L. (2020). An applied research on the integration of life education and class activities for primary school students. Examination Weekly, 7, 0231-0231.
Xiong, Y., & Ge, X. (2021). Research on the positive development model of college students' mental health education based on the perspective of life education. Educational Research, 4, 108-110.
Maudi. (2023). Beyond dying pain: Sports, life education, and hospice care in the process of civilization. Sports and Science, 44, 17-22.
XianQiang, H., & Ping, W. S. (2025). Study on Life Education Network Classroom System Under Computer Big Data Technology. International Journal of Academic Research in Business and Social Sciences, 15(5), 222–230.
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