Interdisciplinary Knowledge Integration Approach and Computational Modeling in English Curriculum Civics and Politics

In this paper, in the field of interdisciplinary knowledge fusion of Civics and Politics in English curriculum, the main use of LDA topic modeling for text mining of literature and teaching material resources is used to extract interdisciplinary keywords and to obtain the respective situation of Civics and Politics elements in the teaching materials. Literature clustering analysis is introduced to visualize the connection between interdisciplinary knowledge integration research hotspots intuitively. It is known that the centrality of curriculum reform, design, and cultural self-confidence is 0.009 and 0.007 respectively. Therefore, in this field of English curriculum Civics and Politics, the main research direction is moral education. The four clusters of “English language”, “Civic education”, “Cultural confidence” and “Civic elements” are interrelated and they depend on each other. The inclusion of political thinking elements in English textbooks from Compulsory I to Compulsory III is gradually increasing, with the objective of enhancing the relationship between political thinking and education in the English curriculum.