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国内外中学体育教学的比较研究——基于聚类算法

Comparative Study of Physical Education Teaching in Middle Schools at Home and Abroad Using Clustering Algorithm.

机构信息

Huizhou University, Huizhou 516001, China.

出版信息

Comput Intell Neurosci. 2022 Jun 18;2022:7277742. doi: 10.1155/2022/7277742. eCollection 2022.

DOI:10.1155/2022/7277742
PMID:35761871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9233614/
Abstract

Physical education in middle school is very important for teenagers, so it is also crucial to understand the differences between PET (Physical Education Teaching) systems in middle schools at home and abroad. The frontier and hotspot of PET research in middle schools at home and abroad are examined in this paper using citation analysis, information visualization, and cluster analysis, as well as CiteSpace software. The findings show that PET method research in China is qualitative, whereas PET method research in middle schools around the world is quantitative evaluation and empirical research. Domestic research hotspots focus on classroom instructional design, whereas foreign countries focus on load identification theory's application in instructional design. Frontier research in the United States is dispersed and covers a wide range of topics, whereas research in other countries focuses on cognitive load theory. The classification time of this improved algorithm is reduced by 190.97 seconds when compared to the traditional KNN algorithm, and the total time is increased by more than 50%. According to the findings, nonsports or nonsports influencing factors should be given more consideration in the study of adolescent physical fitness decline in China.

摘要

中学体育教育对青少年非常重要,因此了解国内外中学体育教育(Physical Education Teaching,PET)系统的差异也至关重要。本文运用引文分析、信息可视化和聚类分析以及 CiteSpace 软件,探讨了国内外中学体育教育研究的前沿和热点。研究结果表明,中国的体育教学方法研究是定性的,而世界范围内中学的体育教学方法研究是定量评价和实证研究。国内研究热点集中在课堂教学设计上,而国外则侧重于负荷识别理论在教学设计中的应用。美国的前沿研究较为分散,涵盖了广泛的主题,而其他国家的研究则侧重于认知负荷理论。与传统的 KNN 算法相比,改进后的算法的分类时间减少了 190.97 秒,总时间增加了 50%以上。根据研究结果,中国在研究青少年体质下降时,应更多地考虑非体育或非体育影响因素。

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本文引用的文献

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Dietary Habits and Psychological States during COVID-19 Home Isolation in Italian College Students: The Role of Physical Exercise.新冠疫情期间意大利大学生居家隔离期间的饮食习惯和心理状态:体育锻炼的作用。
Nutrients. 2020 Nov 28;12(12):3660. doi: 10.3390/nu12123660.
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Machine Learning K-Means Clustering Algorithm for Interpolative Separable Density Fitting to Accelerate Hybrid Functional Calculations with Numerical Atomic Orbitals.用于内插可分离密度拟合以加速数值原子轨道混合泛函计算的机器学习K均值聚类算法
J Phys Chem A. 2020 Dec 3;124(48):10066-10074. doi: 10.1021/acs.jpca.0c06019. Epub 2020 Nov 17.
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An adaptive heuristic clustering algorithm for influence maximization in complex networks.
一种用于复杂网络中影响最大化的自适应启发式聚类算法。
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The Influence of Self-Efficacy and Work Input on Physical Education Teachers' Creative Teaching.自我效能感与工作投入对体育教师创造性教学的影响
Front Psychol. 2020 Jan 8;10:2856. doi: 10.3389/fpsyg.2019.02856. eCollection 2019.
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A Novel Negative-Transfer-Resistant Fuzzy Clustering Model With a Shared Cross-Domain Transfer Latent Space and its Application to Brain CT Image Segmentation.一种具有共享跨域转移潜在空间的新型抗负迁移模糊聚类模型及其在脑CT图像分割中的应用
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