Analysis of the Multidimensional Characteristics and Innovative Training Paths of Highly Skilled Talents in the Context of New Quality Productivity

Zhenpeng Ma; Xiuhuan Meng; Jing Wu; Ayala Tusufuhan; Yilin Sun

doi:10.26689/jcer.v9i11.12885

Zhenpeng Ma Shanghai Technical Institute of Electronics & Information, Shanghai 201411, China
Xiuhuan Meng Shanghai Technical Institute of Electronics & Information, Shanghai 201411, China
Jing Wu Shanghai Technical Institute of Electronics & Information, Shanghai 201411, China
Ayala Tusufuhan Shanghai Technical Institute of Electronics & Information, Shanghai 201411, China
Yilin Sun Shanghai Technical Institute of Electronics & Information, Shanghai 201411, China

DOI: https://doi.org/10.26689/jcer.v9i11.12885

Keywords: New quality productivity, Highly skilled talent, Multidimensional characteristics, Industry-education integration, Digital teaching

Abstract

Against the backdrop of new quality productivity driving high-quality economic development, this paper examines how technological innovation, digital transformation, and green development reshape the competencies and training models of highly skilled talent. It analyzes multidimensional characteristics, including knowledge structure, innovation awareness, digital literacy, and cross-boundary collaboration, revealing a shift towards “innovative, composite, and intelligent” profiles. The study identifies misalignments in current vocational education, such as outdated curricula and insufficient industry-education integration. It proposes innovative training paths, including deep industry-education collaboration, digital-intelligent teaching, and lifelong learning ecosystems. Case studies validate the feasibility of aligning talent development with new quality productivity demands.

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