The assessment of the industry-education integration degree in higher vocational colleges under the guidance of the New Quality Productive Forces Development Strategy

Abstract

The New Quality Productive Forces feature digitalization, networking, and intelligence as their technical characteristics, and the embedding of their elements requires the evaluation of industry-education integration to shift from static resource input to a logic of dynamic capability generation. This paper deconstructs the multi-level structure of the integration degree, and clarifies that the value logic of the evaluation shifts toward the efficiency of capability generation. It designs indicators of integration breadth from the perspective of resource flow, constructs an indicator system of integration depth from the perspective of capability adaptation, and introduces time-series indicators such as capability gap and response delay. Furthermore, this paper proposes a dynamic weight allocation model based on technology readiness levels, constructs a measurement function and an estimation algorithm, and designs a multi-source data calibration mechanism as well as a reliability and validity testing mechanism. This paper provides a systematic analytical framework for the quantitative assessment of the industry-education integration degree.