融合多源数据的高校人才画像:数字模型构建与实践探索研究  

Portrait of University Talents with Multi-Source Data:A Study on Digital Model Construction and Practical Exploration

作　　者：解博超 张烨青[1] 王佳弘 李颖[1] 郑娅峰[2] Xie Bochao;Zhang Yeqing;Wang Jiahong;Li Ying;Zheng Yafeng(Department of Network Security and Informatization,University of International Business and Economics,Beijing,China 100029;Centre for Educational Science and Technology,Beijing Normal University,Zhuhai,Guangdong,China 519087)

机构地区：[1]对外经济贸易大学网络安全和信息化处,北京100029 [2]北京师范大学教育科技中心,广东珠海519087

出　　处：《数字教育》2024年第6期77-83,共7页Digital Education

基　　金：2023年度国家自然科学基金面上项目“虚拟实验环境下科学探究过程自动监测与适应性反馈研究”(62377005);2022年度高等教育科学研究规划重点课题“融合多源数据的教师全息画像构建与应用研究”(22XX0303)。

摘　　要：在教育数字化时代,人才队伍建设已成为高校提升核心竞争力的关键。基于高校教师大数据形成人才画像,精准描绘人才成长轨迹,在高校人才的选、用、育、留等环节可以发挥重要作用。该研究通过融合师德师风、教育教学、科研创新和社会服务等方面的多源数据,运用数据挖掘、机器学习、可视化等技术,构建了人才分类评价体系,形成数字人才画像模型,并实现了人才画像系统的设计与开发。该研究可以为高校高层次人才管理、教师职业发展规划、教学科研评价等工作提供有益借鉴。In the era of education digitalization,the construction of university talent team has become the key to enhance its core competitiveness.To form a talent portrait based on the big data of college teachers and accurately depict its growth trajectory will play an important role in the selection,education and retention of college talents.By integrating multi-source data on teachers’morality,education and teaching,scientific research and innovation,and social services,and using data mining,machine learning,visualization and other technologies,the research constructs a talent classification and evaluation system,forms a digital talent portrait model,and realizes the design and development of the talent portrait system.The research can provide useful reference for the management of high-level talents,teachers’career development planning,teaching and research evaluation in universities.

关 键 词：高校人才画像 多源数据 数字模型构建 可视化 

分 类 号：G4[文化科学—教育学]