能力增值影响本科生就业匹配的模型建构与路径分析
Model Construction and Path Analysis of the Impact of Value-added Ability on the Undergraduates'Employment Matching Status
邱文琪 1岳昌君2
作者信息
- 1. 西南大学 教育学部,重庆 400715
- 2. 北京大学 教育经济研究所,北京,100871
- 折叠
摘要
结构性矛盾是制约高校毕业生高质量就业的关键性因素.从能力视角出发,基于人力资本理论和人职匹配理论,通过建构计量模型,定量分析本科毕业生在高等教育期间所获得的能力增值对就业匹配的影响及教育类型差异.研究发现,在专业匹配上,能力增值越高,毕业生的专业匹配度越高,且这一影响主要通过认知能力体现;在教育匹配上,能力增值显著影响毕业生的教育匹配状况,与教育匹配的学生相比,教育不足的学生依赖相对更高的认知能力弥补教育水平上的欠缺,教育过度的学生则通过更高的学历层次弥补非认知能力上的欠缺.对此,高等教育人才培养要兼顾认知能力与非认知能力,不同类型的教育主体还应结合自身的培养目标和定位,在学生能力塑造方面有所侧重与提升.
Abstract
Structural contradiction is a key factor in the high-quality employment of college graduates.From the ability perspective and based on human capital theory and job matching theory,this study offers a quantitative analysis of the impact of value-added ability acquired by undergraduates during higher education on the employment matching status by constructing an econometric model.It is found that in terms of major matching,the higher the value-added ability,the higher the major matching of graduates,and this effect is mainly manifested through cognitive ability.In terms of educational matching,the value-added ability significantly affects the educational matching status of graduates,and in comparison with educationally-matched students,undereducated students rely on relatively higher cognitive ability to make up for the lack of education,while overeducated students make up for their lack of non-cognitive ability through higher levels of education.In this regard,the cultivation of talents in higher education should take into account both cognitive and non-cognitive abilities,and different types of educational entities should also focus on shaping the different abilities of students,taking into account their own training objectives and orientation.
关键词
能力增值/认知能力/非认知能力/专业匹配/教育匹配Key words
value-added ability/cognitive ability/non-cognitive ability/major matching/educational matching引用本文复制引用
基金项目
国家自然科学基金青年项目(72304230)
教育部人文社会科学重点研究基地重大项目(22JJD880038)
中央高校基本科研业务费人文社科科研启动项目(SWU2309703)
出版年
2024
NETL
NSTL
万方数据