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作 者:路佩佩 LU Pei-pei(Tongchuan Vocational and Technical College,Tongchuan 727000 China)
出 处:《自动化技术与应用》2022年第9期69-72,共4页Techniques of Automation and Applications
摘 要:现有篮球在线学习方法对于学习动作的捕捉能力较差,因此设计基于时空熵的篮球在线学习资源交互式共享方法。采用时空熵技术捕捉动作特征,并将特征值输入到在线学习平台中。计算采集到数据与预先设定的动作标准数据的相似度,实现用户的交互式学习。同时将此学习数据作为学习资源共享的基础,根据数据特征构建动态学习资源共享模型,设定资源共享约束条件实现学习资源交互式共享。构建实验对比环节,对比可知此方法查准率高于其他传统方法。在日后的在线教学中可使用此方法完成教学资源共享过程,提高篮球在线学习效果。The existing methods of basketball online learning have poor ability to capture the actions, which leads to the low precision of teaching resources. The spatiotemporal entropy technology is used to capture the action features of users in the learning process,and the feature values are input into the online learning platform. The similarity between the collected data and the preset action standard data is calculated to realize the interactive learning. At the same time, the learning data is used as the basis of learning resource sharing. According to the data characteristics, the dynamic learning resource sharing model is constructed, and the constraint conditions of resource sharing are set to realize the interactive sharing of learning resources. So far, the interactive sharing method of basketball online learning resources based on spatiotemporal entropy is completed. Compared with other methods, the accuracy of this method is higher than that of traditional methods. In the future online teaching, this method can be used to complete the sharing process of teaching resources and improve the effect of basketball online learning.
分 类 号:TP393.09[自动化与计算机技术—计算机应用技术]
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