With the help of big data algorithm to promote the practice of deep integration of traditional Chinese culture and ideological and political education

Abstract

In today's educational environment, the application of big data technology has brought digital, precise and intelligent changes to ideological and political education. This paper adopts a questionnaire survey to count the level of integration of traditional Chinese culture and ideological and political education. On this basis, Word2Vec neural network and K-Means algorithm are fused, and word vector clustering method is utilized to mine students' developmental needs for the integration of Chinese traditional culture and ideological and political education, and to propose strategies for the practice of the deep integration of Chinese traditional culture and ideological and political education. Most teachers and students have a general knowledge of Chinese traditional culture, and over 70% of students have a strong willingness to integrate it into ideological and political education. The current integration teaching has problems such as single teaching method, lack of school management, and shallow integration. Students' needs in terms of teaching resources, teaching methods, teacher quality, hardware and software, and practical activities are also obtained, by which the integration practice strategies of enriching teaching resources, innovating teaching methods, optimizing teachers, building teaching platforms, and strengthening practical links are proposed to promote the deep integration of traditional Chinese culture and Civic and Political Education.