Strategies for Civic Education in Colleges and Universities Based on Deep Learning Methods
Pubblicato online: 06 nov 2023
Ricevuto: 16 feb 2023
Accettato: 17 mag 2023
DOI: https://doi.org/10.2478/amns.2023.2.00982
Parole chiave
© 2023 Hongliang Qin, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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.