Strategies for Civic Education in Colleges and Universities Based on Deep Learning Methods

被引：0
作者：
Qin H. [1 ]
机构：
[1] The College of Film and Television Art, Hebei Institute of Communications, Hebei, Shijiazhuang
来源：
Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期
关键词：
Civic education; Deep learning; Employment education; Gray correlation; Principal component analysis;
D O I：
10.2478/amns.2023.2.00982
中图分类号：
学科分类号：
摘要：
To solve the employment problems of college students, this paper integrates Civic Education and employment education, reforms the Civic Education of colleges and universities based on deep learning, and constructs the evaluation index system of Civic Education of colleges and universities to improve the employment and entrepreneurship rate. Based on the established evaluation indexes, a comprehensive evaluation model for college Civic Education based on deep learning is constructed by combining principal component analysis and gray correlation degree. The strategy evaluation is comprehensive by screening and assigning weights to the evaluation indexes. The results show that the maximum value of the gray comprehensive correlation degree is 0.93, and the correlation degrees of five first-level indicators are 0.18, 0.19, 0.2, 0.21 and 0.15, respectively. The quality of college Civic Education based on deep learning is superior and can enhance employment and entrepreneurship abilities. © 2023 Hongliang Qin, published by Sciendo.
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