Research on the Collaborative Model of Intelligent Teaching System Under the Dual-Teacher System

The global digital transformation of education has entered an accelerated phase. The United Nations Educational, Scientific and Cultural Organization (UNESCO)’s Report on the Digital Transformation of Education points out that digital technology is a key lever for promoting educational equity and quality improvement, and artificial intelligence (AI), as a core driving force, is reshaping the educational ecosystem. Against this backdrop, the dual-teacher collaborative model of "AI + Teacher" has become an important practical path for the digital transformation of education. This study constructs a theoretical framework for dual-teacher collaborative teaching by defining core concepts, analyzing application scenarios, and extracting system functions, verifies the effectiveness of the model through empirical cases, and proposes countermeasures to address existing challenges. The research shows that through the complementary roles and process collaboration between AI and teachers, this model increases teaching efficiency by 25%-40%, significantly improves the coverage of personalized learning support, and effectively resolves the contradiction between large-scale teaching and personalized needs in traditional education. Meanwhile, integrating AI education with study tour practices provides a replicable collaborative paradigm for the digital transformation of education.