Research on Adaptive Reconstruction of Vocational Undergraduate Talent Cultivation Models under the Background of Enterprise Digitalization

Abstract

The advancement of enterprise digitalization has triggered a profound reshaping of production organization forms and post competency structures, leading to a systematic imbalance in traditional vocational undergraduate talent cultivation models with respect to task ecological migration and dynamic capability generation. The study identifies a shift in training objectives from substantive knowledge to procedural knowledge on the knowledge dimension, and an expansion from task execution to situational adaptation on the competency dimension. On this basis, it constructs a modular integrated curriculum system and a virtual-real integrated teaching structure. Furthermore, the study proposes multi-agent collaborative calibration rules, digital twin-driven matching strategies, and a competency map-oriented progressive evaluation mechanism, thereby forming a closed-loop operation regulation system. This model is designed to enhance the response speed and adaptation precision of the cultivation system to the dynamic changes brought about by enterprise digitalization.