“Digital-Intelligence Integration” Micro-Credential in Higher Vocational Colleges Based on Emerging Quality- Oriented Positions: Internal Logic, Framework Design, and Implementation Pathways

With the rapid advancement of the digital economy, emerging quality positions (EQPs) have continuously emerged, imposing new demands on talent cultivation in higher vocational colleges. Guided by the requirements of EQPs, this study explores the construction pathways of “digital-intelligence integration” curriculum clusters. (1) It analyzes the characteristics of EQPs and their competency requirements, including interdisciplinary knowledge integration, adaptive technical skills, and innovation capabilities in intelligent scenarios . (2) It clarifies the conceptual connotation and construction principles of “digital-intelligence integration” curriculum clusters, emphasizing the synergy between digital technologies (e.g., AI, big data) and vocational education objectives 34. (3) Specific strategies are proposed: Curriculum System Design : Modular curriculum architectures aligned with industrial chains, incorporating dynamic adjustment mechanisms to adapt to technological iterations ; Content Innovation : Embedding cutting-edge technologies (e.g., digital twins, intelligent diagnostics) and industry standards into teaching resources ; Pedagogical Reform : Implementing hybrid teaching models combining virtual simulations and real-world scenarios to enhance practical competencies ; Faculty Development : Cultivating dual-capability instructors proficient in both digital tools and disciplinary expertise through cross-institutional collaboration and AI-supported training . This research provides theoretical and practical references for higher vocational colleges to cultivate compound technical talents that meet the demands of EQPs in the digital era.