THE CONSTRUCTION OF SELF-REGULATION PROMOTION STRATEGY AND EFFECT EVALUATION SYSTEM FOR SECONDARY SCHOOL ENGLISH ONLINE TEACHING: BASED ON INTELLIGENT LANGUAGE MODELING

This paper focuses on the application of intelligent language modeling in secondary school English online teaching, aiming to enhance students' learning autonomy, language proficiency and learning effect by constructing self-regulation facilitation strategies and effect evaluation system. Combining the technical advantages of intelligent language models, the study designs application scenarios such as personalized learning path generation, intelligent interaction and real-time feedback, automated assessment and diagnosis, and proposes self-regulation facilitation strategies such as meta-cognitive ability development, motivation maintenance mechanism, and behavior monitoring and intervention. Meanwhile, the study constructs an effect evaluation system containing process evaluation matrix, dynamic evaluation model and evaluation result application to comprehensively assess students' learning effectiveness. Through the empirical analysis of application cases, the effectiveness and feasibility of the intelligent language model in secondary school English online teaching are verified. This paper provides a new theoretical framework and practical path for secondary school English online teaching, which is of great significance for promoting the development of education information and intelligence.