中国人事科学Issue(4)：32-44,13.
地方高校一体多维引进人才考核评价体系的探索
Exploration of Multi-Dimensional Assessment and Evaluation System for Talent Introduction in Local Colleges and Universities
摘要
Abstract
Building an assessment and evaluation system for talent introduction is not only an inevitable requirement for local colleges and universities to promote the modernization of talent governance,but also an important breakthrough for local colleges and universities to deepen the reform of talent evaluation.However,the effectiveness of assessment is a common weak link in the talent work of local colleges and universities,and the main problems are the lack of systematicity,standardization,operability,and motivation.Based on a comprehensive review of the"Ten Major Relationships"involved in the assessment for talent introduction,this paper combines the core requirements of the national"Double First Class"construction monitoring index system and the connotation construction of high-level universities.Guided by the principles of combining classification and stratification,combining qualitative and quantitative analysis,combining process and effectiveness,treatment and responsibilities,combining constraints and incentives,and combining universality and particularity,an assessment index system covering areas such as teacher ethics and style,talent cultivation,discipline platforms,teaching staff,scientific research and innovation,and social services is set up.Assessment requirements are set by layers and classifications according to different talent levels and disciplinary characteristics,medium-term and long-term assessment is adopted,and the application of results is strengthened to explore the construction of a multi-dimensional assessment and evaluation system for talent introduction.关键词
地方高校/引进人才/考核评价体系Key words
Local colleges and universities/Talent introduction/Assessment and evaluation system分类
政治法律引用本文复制引用
阮学旺..地方高校一体多维引进人才考核评价体系的探索[J].中国人事科学,2025,(4):32-44,13.基金项目
本文系福建省社科基金项目——省新思想研究中心年度一般项目"人才发展现代化引领驱动中国式现代化的理论与实践研究"(项目编号:FJ2023XZB036)的研究成果之一. （项目编号:FJ2023XZB036）
