摘要
数据革命正在席卷各个领域,高校也不例外,数据隐含价值、计算发展价值、应用实现价值,构建以数据驱动的院校治理重要性不言而喻。而数据治理过程中影响因素众多、关系结构复杂等问题,使得任务更加艰巨。本文系统地解析了院校教育数据治理的主要影响因素,基于系统动力学理论构建了关系模型,并对治理周期内各因素的发展变化进行了演绎分析,为把握高校教育数据治理机理、科学推动高校教育数据治理实践提供有效支撑。
The data revolution is sweeping across various fields,including colleges and universities.The importance of data implicit value,computing development value,application realization value,and constructing data-driven college governance is evident.In the process of data governance,there are many influencing factors and complex relationship structure,which makes the task even more arduous.This article systematically analyzes the main influencing factors of college education data governance,constructs a relationship model based on system dynamics theory,and deductively analyzes the development and changes of various factors in the governance cycle,providing effective support for understanding the mechanism of college education data governance and scientifically promoting college education data governance practice.
作者
宋瑶瑶
周益名
李洋
Song Yao-yao;Zhou Yi-ming;Li Yang(Naval Aeronautical University,Yantai 264001,Shandong Province,China)
出处
《科学与信息化》
2022年第15期144-150,共7页
Technology and Information
关键词
教育数据
数据治理
系统动力学
education data
data governance
system dynamics
