Portrait of University Talents with Multi-Source Data:A Study on Digital Model Construction and Practical Exploration
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.
NETL
NSTL
万方数据
