Evaluation Model of Physical Education Integrated Ideology and Politics Based on Principal Component Analysis

被引:0
|
作者
Xue-kai Chen
Jianbo Yu
机构
[1] Beijing Electronic Science and Technology Institute,Department of Humanities and Social Sciences
[2] Hunan Educational Technology Center,undefined
来源
关键词
Principal component analysis; Physical education integrated ideology and politics; Teaching effect; Evaluation model; Index system; Correlation matrix;
D O I
暂无
中图分类号
学科分类号
摘要
In order to obtain scientific quantitative decision-making of physical education integrated ideological and political teaching in college, and improve the teaching effect of college physical education integrated ideology and politics, a teaching effect evaluation model of physical education integrated ideology and politics based on principal component analysis is proposed. Clear teaching contents, activities planning and organization, sports teams, such as evaluation index, according to each evaluation index, data collection and initial evaluation, in combination with principal component analysis (pca), assimilation process evaluation index, and correlation matrix eigenvalue and characteristic vector and determine the number of principal components, fuse the sports education teaching effect evaluation model of the building. Experiments show that the model of the linear correlation coefficient and the rank correlation coefficient of average 97.3% and 96.7%, respectively, were higher than other methods, fusion and its various professional sports education teaching effect are present must rise, the score of one of the English major students score increased 0.75, the lowest building professional and a higher level of ascension 0.12. The accuracy of the evaluation results of the model in this paper is higher, which can effectively improve the effect of college sports integrated ideological and political teaching.
引用
收藏
页码:1240 / 1251
页数:11
相关论文
共 50 条
  • [41] On the evaluation of a nonlinear principal component analysis
    Saegusa, R
    Hashimoto, S
    Proceedings of the Second IASTED International Conference on Neural Networks and Computational Intelligence, 2004, : 66 - 72
  • [42] Comprehensive Evaluation Model of Physical Education Based on the Grey Cluster Analysis
    Gao, Xiaofeng
    Jia, Shushen
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2019, 124 : 88 - 89
  • [43] Principal component analysis in the evaluation of osteoarthritis
    Calce, Stephanie E.
    Kurki, Helen K.
    Weston, Darlene A.
    Gould, Lisa
    AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, 2017, 162 (03) : 476 - 490
  • [44] Local component based principal component analysis model for multimode process monitoring
    Yuan Li
    Dongsheng Yang
    Chinese Journal of Chemical Engineering, 2021, 34 (06) : 116 - 124
  • [45] The correlation analysis and strategy between basketball scoring index and physical fitness based on principal component model
    Liu, Jun
    Journal of Chemical and Pharmaceutical Research, 2014, 6 (03) : 340 - 345
  • [46] Local component based principal component analysis model for multimode process monitoring
    Li, Yuan
    Yang, Dongsheng
    CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2021, 34 : 116 - 124
  • [47] Image Generation Network Model based on Principal Component Analysis
    Cha, Gi Soon
    Asim, Usman
    Song, Myung Keun
    Niaz, Asim
    Choi, Kwang Nam
    2022 ASIA CONFERENCE ON ADVANCED ROBOTICS, AUTOMATION, AND CONTROL ENGINEERING (ARACE 2022), 2022, : 76 - 80
  • [48] Frequency domain model reduction based on principal component analysis
    Nimityongskul, S.
    Kammer, D. C.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2010, 24 (01) : 41 - 51
  • [49] Indoor fingerprint positioning model based on principal component analysis
    Chen, Y.-L. (yonglech@gmail.com), 1600, Chinese Academy of Sciences (24):
  • [50] A Linear Model Based on Principal Component Analysis for Disease Prediction
    Roopa, H.
    Asha, T.
    IEEE ACCESS, 2019, 7 : 105314 - 105318