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Application of Large-Scale Cognitive Social Networks Based on Cooperative Transmission Mechanisms in Exploration of Flipped Classroom Teaching Strategy

机译:大规模认知社交网络在探索课堂教学策略探索中的应用基于合作传输机制

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With the deepening of the research on flipped classroom teaching theory, the flipped classroom teaching model has gradually been applied to classroom teaching at all levels and types of schools, and some beneficial results and experiences have been obtained. Due to the relatively low self-learning ability and motivation level of students, in the implementation of flipped classrooms, the quality of preclass self-study links is difficult to guarantee, resulting in unsatisfactory results of flipped classroom teaching in secondary vocational schools. This article aims to solve the current dilemma faced by the optimization of the flipped classroom teaching mode of programming courses by studying the course platform based on the flipped classroom teaching model. The source-destination node distribution is constructed with a model based on node affinity to restore the actual network node distribution architecture. The change in the distribution of source-destination nodes has led to different degrees of aggregation in the overall data flow of the network. After that, the capacity and delay performance of the primary network and the secondary network will change as the degree of data flow aggregation changes. By laying base stations in the main network, we reanalyzed the network. Through the comprehensive analysis of students’ learning status through the scores of students in class and the test situation after class, we modify the specific teaching plan of flipped classroom. Experiments have proved that the in-class flipping model we proposed effectively avoids the inherent shortcomings of students who are not strong in autonomous learning before class, solves the problem that secondary vocational students cannot do well in autonomous learning before class, and improves students to a certain extent. The results show that the flipped classroom teaching model in class can provide more powerful value for vocational teaching to achieve this goal.
机译:随着翻转课堂教学理论的研究深化,翻转的课堂教学模式逐渐应用于各级和学校类型的课堂教学,并获得了一些有益的结果和经验。由于相对较低的自学能力和学生动机水平,在实施翻转教室时,预防自学链接的质量难以保证,导致中等职业学校翻转课堂教学的不满意。本文旨在通过基于翻转课堂教学模型研究课程平台,解决方案化课程的优化课堂教学模式所面临的当前困境。源 - 目的地节点分布用基于节点亲和力的模型构造,以恢复实际的网络节点分发架构。源 - 目的地节点的分布的变化导致了网络整体数据流中的不同程度的聚合。之后,随着数据流聚合变化的程度,主网络和次要网络的容量和延迟性能将改变。通过在主网络中铺设基站,我们重新分析了网络。通过对学生学习地位的全面分析通过课堂上的学生和课后的测试局面,我们修改了翻转课堂的具体教学计划。实验证明,我们提出的课堂翻转模型有效避免了在课前自主学习中不强的学生的固有缺点,解决了中等职业学生在课前的自主学习中的问题,并改善了学生一定程度。结果表明,课堂上翻转的课堂教学模式可以为职业教学提供更强大的价值,实现这一目标。

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  • 来源
    《Complexity》 |2021年第a期|共11页
  • 作者

    Chen Zeng;

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  • 中图分类 大系统理论;
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  • 入库时间 2022-08-19 02:04:58

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