Optimization Analysis of the Path of Ideological and Political Construction in Higher Vocational English Courses Based on Intelligent Data Analysis

Abstract

Abstract Incorporating the elements of curriculum Ideological and Politics in English teaching is an important way to enhance the effect of nurturing, and this paper explores its integration. In the paper, the intelligent data mining process for the construction of higher vocational English curriculum Ideological and Politics is constructed, and the related data are integrated based on the rough set method to explore the set relationship between the construction of intelligent data. In addition, combined with the PSO algorithm, the PSOBR algorithm is constructed on the basis of the PSORSFS algorithm of PSO’s rough set feature selection for the optimization of the path of construction of the English curriculum Ideological Politics. On this basis, relevant data on English majors in higher vocational colleges and universities were collected to carry out empirical research on the path of Ideological and Political construction of English courses in higher vocational colleges and universities. The results show that the main distribution of GPA of the three groups of students based on rough set classification is (0.60,0.80), (0.36,0.50), (0.24,0.44), respectively, and the distribution of the construction of higher vocational English courses is not balanced. The average construction effect after optimization has been improved by 0.30, and the highest construction effect has been improved by 0.42, which makes the optimization effect obvious. The optimization effect of the path of English course ideological and political construction through the formation of a professional teaching team, enrichment of teaching methods, and other means is obvious.