Abstract
Abstract The arrival of the big data era, which has been widely used in various industries. In today’s education management mode, in order to improve education development, it is necessary to keep up with the times and reform the education management mode. For this reason, this paper designs an education management model based on the classroom behavior recognition model, which manages students in real time by detecting their classroom behavior status. The classroom behavior recognition model is improved based on the deep learning target detection SSD algorithm. A lightweight model for detecting the behavior of SSD-M3-SFP networks has been designed by replacing the SSD backbone network, VGG, with a MobileNetV3 network after pruning SFPs. Both the speed and accuracy of student behavior recognition can be ensured by the model. Through practical analysis, in the before-and-after analysis of SSD-M3-SFP-based education management model and general education management model, the p-values are 0.001, 0.003, 0.000 on the indicators of the three aspects of education management services, all of which are lower than 0.05, and the difference is significant, and the management effect of SSD-M3-SFP-based education management model is higher than that of general education management model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.