<p>In order to improve the quality level of multimedia sports distance education and realize the quantitative evaluation of multimedia sports distance education quality, a quality evaluation model of multimedia sports distance education based on fuzzy algorithm is put forward. The quantitative characteristics of distance education quality of multimedia sports practice courses under the background of resource integration in massive open online course are constructed. The linear prediction and dynamic planning of distance education quality of multimedia sports practice courses under the background of resource integration in massive open online course are carried out by combining empirical mode decomposition and fuzzy feature detection methods, and the accurate prediction and evaluation of distance education quality of multimedia sports practice courses under the background of resource integration in massive open online course are realized by fuzzy algorithm. The simulation results show that this method has good accuracy, high evaluation quality and good confidence level in distance education quality evaluation of multimedia sports practice courses under the background of resource integration in massive open online course, which effectively promotes the improvement of distance education quality of multimedia sports practice courses.</p>

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Quality Evaluation Model of Multimedia Physical Education Distance Learning Based on Fuzzy Algorithm

  • Zheng Liang

摘要

In order to improve the quality level of multimedia sports distance education and realize the quantitative evaluation of multimedia sports distance education quality, a quality evaluation model of multimedia sports distance education based on fuzzy algorithm is put forward. The quantitative characteristics of distance education quality of multimedia sports practice courses under the background of resource integration in massive open online course are constructed. The linear prediction and dynamic planning of distance education quality of multimedia sports practice courses under the background of resource integration in massive open online course are carried out by combining empirical mode decomposition and fuzzy feature detection methods, and the accurate prediction and evaluation of distance education quality of multimedia sports practice courses under the background of resource integration in massive open online course are realized by fuzzy algorithm. The simulation results show that this method has good accuracy, high evaluation quality and good confidence level in distance education quality evaluation of multimedia sports practice courses under the background of resource integration in massive open online course, which effectively promotes the improvement of distance education quality of multimedia sports practice courses.