Research on the Integration Mechanism of English Teaching and Research in High Schools in Guizhou Province: A Case Study of Three Schools Based on Machine Learning Analysis
This study investigates the integration mechanism of English teaching and research between universities and high schools under the broader context of educational quality improvement initiatives in Guizhou Province. Taking Huishui No.1 Senior High School, Huishui Ethnic Senior High School, and Guiyang No.1 High School in Guizhou Province. as samples, the study applies a mixed-methods approach combining correlation analysis, Random Forest regression, and K-Means clustering. Results reveal that teacher reflection ability, resource sharing, and policy-influenced participation behavior are core drivers of teaching-research integration. More importantly, the study identifies key policy-enabled mechanisms—such as cross-provincial mentorship, co-teaching activities, and platform-based interactions—that shape teacher collaboration dynamics. Three distinct teacher clusters are identified, enabling differentiated recommendations. This research provides empirical and strategic insights for the adaptive transformation of higher education teaching models into high school contexts, guided by regional policy frameworks like Guangdong–Guizhou cooperation.
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