Innovative Research on Theory-Practice Integrated Teaching Models Driven by Digital-Intelligence Fusion

Traditional theory-practice integrated teaching models in secondary vocational education encounter various challenges. Theoretical content often appears overly abstract, and teacher-student interaction tends to be one-side,practical resources are usually scattered, and teaching evaluations frequently fall behind. To address these issues, this study proposes a teaching model driven by intelligent-digital integration, aiming to unify theory and practice effectively. The integration of AR/VR interactive learning systems, modular digital training systems, and intelligent classroom analytics systems constructs a closed-loop teaching framework. This framework follows the sequence of theory, practice, and evaluation. A case study on the course Microcontroller Application Technology verifies the effectiveness of this implementation. Findings indicate that the proposed model significantly improves learning outcomes. It also raises the frequency of classroom interaction and enhances the efficiency of completing practical tasks. The model gathers data in real time and evaluates it from multiple dimensions. This optimizes the teaching process across its entire cycle. It provides technical methods and practical models. These can be replicated for the digital transformation of vocational education.