Exploration of Data Visualization and Analysis Methods for Integrating Curriculum Civics Education into the Teaching of English Reading Major

Abstract

Driven by the digital transformation of education, the effective integration of ideological and political education elements with professional course teaching has become a key issue to be solved in the reform of higher education. To this end, this paper designs a set of evaluation system for the effect of curriculum ideological and political education based on data visualization analysis, and quantitatively analyzes the implementation effect of university curriculum ideological and political education in English reading teaching through the weighted TF-IDF algorithm and visualization technology. The results show that the Civic-Government education model improves students' reading comprehension by 11.1% on average, while cultural identity and critical thinking skills are improved by 35.3% and 34.4% respectively, and the weighted TF-IDF algorithm achieves a level of 90.88% in terms of text categorization accuracy. The data visualization technology shows significant application effect in the evaluation of curriculum Civic Education, which has important theoretical value and practical significance.