Classroom Practice of Analog and Digital Electronic Technology under the Collaborative Teaching Mode of AI and Teachers

Abstract

To address the common pain points in conventional classrooms of Analog and Digital Electronic Technology, namely insufficient personalized support, disconnection between theory and practice, and low student engagement, this study constructs an AI-teacher collaborative teaching model. Centered on a three-dimensional collaborative system covering personalized learning, virtual-reality integrated practice and interactive motivation, the model generates accurate learning profiles of students through the combination of AI learning analytics systems and teachers’ empirical calibration, and meets personalized learning needs via stratified teaching and dynamic learning plans. It also reshapes the classroom interaction ecosystem with the support of AI-intelligent Q&A, interesting interactive tools, as well as teachers’ guidance and incentives. The core innovation lies in defining the complementary roles: AI undertakes data processing, real-time guidance and interactive support, while teachers are responsible for objective setting, professional tutoring and classroom atmosphere building, thereby forming a full-process teaching closed loop. Practical results show that the proposed model can effectively improve students’ knowledge mastery efficiency and engineering practical competence, and provide a feasible reference for the teaching reform of Analog and Digital Electronic Technology and other similar engineering courses.