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Self-organizing Community Learning Based on P2P Network in a University Computer Foundation Course

机译:大学计算机基础课程中基于P2P网络的自组织社区学习

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In order to solve the problem of lack of targeted guidance for learners in the community learning process, an improved algorithm for constructing com-munities was proposed. The algorithm used P2P architecture. Through the improved learning rules, the links between learners with similar interests were continuously strengthened. The community structure was automatically adjusted. In the end, learners with similar interests were grouped together. Taking university computer basic courses as an example, a self-organizing community learning system based on p2p network-based university comput-er basic courses was constructed. The results showed that compared with the traditional P2P architecture learning algorithm, this algorithm achieved better community construction quality and higher community construction speed. Therefore, this method can improve the learning effect of the university computer basic curriculum community.
机译:为了解决社区学习过程中针对学习者缺乏针对性指导的问题,提出了一种改进的社区构建算法。该算法采用P2P体系结构。通过完善的学习规则,兴趣相似的学习者之间的联系不断得到加强。社区结构已自动调整。最后,将兴趣相似的学习者分组在一起。以高校计算机基础课程为例,构建了基于p2p网络的高校计算机基础课程的自组织社区学习系统。结果表明,与传统的P2P架构学习算法相比,该算法具有更好的社区建设质量和较高的社区建设速度。因此,该方法可以提高大学计算机基础课程社区的学习效果。

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