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基于就业数据分析的人才分类培养策略研究——以吉林工程技术师范学院数学与应用数学专业为例

Classified Talent Cultivation Strategy Based on the Employment Data Analysis——with the Specialty of Mathematics and Applied Mathematics of Jilin Engineering Normal University as an Example

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【作者】 孔令海

【Author】 KONG Ling-hai;School of Business Administration at Jilin Engineering Normal University;

【机构】 吉林工程技术师范学院工商管理学院

【摘要】 人才分类培养是促进高等教育持续健康协调发展的有效策略。吉林工程技术师范学院数学与应用数学专业依据就业数据分析提出人才分类培养模式,通过社会需求合理建构人才培养方案,实现个性化人才培养,不仅提高了毕业生的就业竞争能力,而且提升了毕业生的就业层次和就业质量。

【Abstract】 Classified talent cultivation is an effective strategy that can help with the healthy,continuous and coordinative development of higher education. On the basis of a data analysis of employment,a classified talent cultivation mode was proposed by the specialty of mathematics and applied mathematics of Jilin Engineering Normal University whereby a social demands-based talent cultivation program was designed for individualized cultivation. The practice does not only enhance the graduates’ edges of job hunting but also improve their employment level and quality.

【关键词】 数据分析分类培养就业
【Key words】 Data AnalysisClassified Talent CultivationEmployment
  • 【文献出处】 吉林工程技术师范学院学报 ,Journal of Jilin Teachers Institute of Engineering and Technology , 编辑部邮箱 ,2018年02期
  • 【分类号】G652;O1-4
  • 【被引频次】6
  • 【下载频次】237
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