Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 6, 2023


Pages


DOI

Article

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


Authors

Hongliang Qin Affiliation:
The College of Film and Television Art, Hebei Institute of Communications, Shijiazhuang, Hebei, 051430, China.


Abstract

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.


Keywords

Principal component analysis, Gray correlation, Deep learning, Employment education, Civic education, 97D60


Citation

Qin, H. (2023). Strategies for civic education in colleges and universities based on deep learning methods. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00982

Published by: Engineering Journals

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