检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:范艾婧 FAN Aijing(Tianjin Academy of Fine Arts,Tianjin 300141,China)
机构地区:[1]天津美术学院,天津300141
出 处:《中国轻工教育》2021年第6期27-31,共5页China Education of Light Industry
基 金:天津美术学院校级科研项目“大数据时代背景下高等艺术院校人才管理研究”。
摘 要:大数据技术的迅猛发展为高等院校师资队伍大数据管理提供了更多的管理方法和渠道,但是大数据管理现状却是挑战重重,其中,高等院校师资队伍大数据管理过程的信息化非智能化、流程化非闭环化、区域化非联动化等矛盾突出,立足大数据管理自身特点,结合高等院校师资队伍数据管理现状,探索更具实践性的高等院校师资队伍大数据管理方法可以有效提高管理效率。The rapid development of big data technology has provided more management methods and channels for the big data management of the faculty of colleges and universities.However,the data management of the faculty has been faced with many kinds of challenges.Among these challenges,there exist some prominent contradictions such as informationization but non-intelligence,streamline but not closed-loop,regionalization but non-linkage.Therefore,in this article it is argued that based on the characteristics of big data management and combined with the status quo of data management of the faculty of colleges and universities,organically combining the two to explore more practical big data management methods for the faculty of colleges and universities can effectively improve the management efficiency.
分 类 号:G647[文化科学—高等教育学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.171