The Multidimensional Space and Empirical Research on the Measurement of New-Quality Talent in Higher Vocational Education
Year: 2025
Type: article
Study design: Observational Study
Abstract: 本研究基于经济学范式构建包含数字赋能、跨学科融合、创新创业能力、高阶思维和可持续发展能力5个一级指标的新质人才测量体系，通过结构方程模型(SEM)分析550份高职教育问卷数据。结果显示：数字赋能(相关系数0.763)与可持续发展能力(0.486)对新质人才培养影响最显著；跨学科融合(0.421)通过促进高阶思维间接驱动创新能力提升(间接效应0.342)。模型验证表明，数字赋能为核心驱动力，直接推动跨学科融合与高阶思维发展，并协同强化可持续发展能力。建议职业教育改革聚焦三方面：一是深化数字技术教育，夯实人才数字化素养；二是推进跨学科课程整合，构建复合型知识结构；三是完善“双创”实践生态，强化高阶思维与可持续发展理念渗透，为产业升级提供高质量技术技能人才支撑。This study constructs a new-quality talent measurement system based on an economic paradigm, encompassing five primary indicators: digital empowerment, interdisciplinary integration, innovation-entrepreneurship capability, higher-order thinking, and sustainable development capacity. Using structural equation modeling (SEM), we analyzed 550 vocational education questionnaires. Key findings include: Digital empowerment (correlation coefficient r = 0.763) and sustainable development capacity (r = 0.486) exhibit the most significant impacts on new-quality talent cultivation; Interdisciplinary integration (r = 0.421) indirectly enhances innovation capability through higher-order thinking (indirect effect β = 0.342). Model validation confirms digital empowerment as the core driver, directly promoting interdisciplinary integration and higher-order thinking while synergistically strengthening sustainable development capacity. Recommendations for vocational education reform focus on: Deepening digital technology education to solidify talent’s digital literacy; Advancing interdisciplinary curriculum integration to build composite knowledge structures; Optimizing the “innovation-entrepreneurship” practice ecosystem to embed higher-order thinking and sustainable development concepts, thereby supplying high-quality technical talent for industrial upgrading.
Source: Advances in Education
Author: 华 孙
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4412510887