English Reading Teaching Practices based on CiteSpace

Abstract

This study explores the practice of English reading teaching based on CiteSpace and designs differentiated teaching methods for English majors and non English majors, with personalized learning paths as the core. By constructing an English reading knowledge graph, integrating knowledge points and systematically analyzing students' learning needs and cognitive levels. For English major students, emphasis is placed on deep text analysis and academic reading ability development, using knowledge graphs to recommend advanced learning resources; For non English major students, it is important to focus on practical reading skills and interdisciplinary knowledge integration, and to improve learning efficiency through dynamic path adjustment. Practice has shown that personalized teaching based on knowledge graphs can effectively improve students' reading interest and ability, while providing precise learning support for students from different professional backgrounds. The research results provide new ideas for intelligent English teaching and highlight the potential of knowledge graphs in optimizing teaching strategies.