Abstract
Abstract
The course of sports humanities and sociology occupies an important position in the contemporary education system. However, in the classroom teaching process, the current teaching of sports humanities and sociology is far from the expected effect, which is not conducive to the play of the value and role of the curriculum. In this context, it is very necessary to innovate and explore the teaching mode of sports humanities and sociology courses. Under the artificial intelligence wireless network environment, the professional courses of sports humanities and sociology have been researched and set up, and a reconstruction decision algorithm is proposed. In the course setting, the intelligent edge cloud computing theory designed the information management system for massive course data. When the system is deployed, edge nodes are introduced into each data collection area. The system consists of data collection, transmission, and query and analysis modules. Firstly, the network parameters that need to be changed are obtained by analyzing the factors that affect the performance, and the data are reconstructed and deployed. These changes are mapped into the actual network structure. This not only ensures that the system can adapt to the dynamically changing environment but also saves time of system operation. Two results are obtained: on the one hand, the artificial neural network is good at processing complex multi-domain information; on the other hand, artificial intelligence introduces a learning mechanism into reconstruction decision-making, which ensures the correctness and optimization of reconstruction decisions. The course data management system based on intelligent edge computing can meet the storage and query requirements of millions of data items. Based on this algorithm, the sports humanities and sociology courses are set up to maintain a balanced state that ensures the course runs well. Ultimately, sports humanities and sociology courses can better serve teachers and students and then serve social progress.
Publisher
Research Square Platform LLC
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