Employment-oriented the education of ideologic and politic methods for college students in the context of deep learning

Abstract

Abstract Based on the advantages of the education of ideologic and politic in college students’ employment guidance, this paper puts forward the necessity of strengthening the path of the education of ideologic and politic in college students’ high quality and full employment. On the basis of the deep learning background, ID3 algorithm is selected to be applied to college students’ employment guidance, and ID3 algorithm is improved to obtain a classification model with better classification accuracy and decision tree streamlining, and then better provide employment guidance decision-making suggestions. It focuses on analyzing the structure of college students’ employment abilities and the methods of cultivating those abilities in the education of ideology and politics. Most of the students in the three majors of management, economics and engineering think that it is necessary to strengthen the education of ideologic and politic, and the proportion of students is 0.83, 0.94 and 0.80 respectively. The proportion of students in the three majors of literature, art and law who hold the attitude that it is very necessary is 0.40, 0.38 and 0.35 respectively. 74.2% of the students chose to enrich the methods and means of the education of ideologic and politic, and thus the methods of the education of ideologic and politic should be strengthened in order to improve the employment rate of college students.