摘要
教育数字化转型的重要任务之一是通过数据治理提高教育治理能力,当前数据治理呈现出场景化和智能化的趋势,但是以管理和标准为核心的静态治理理念难以适应应用场景的数字化转型和创新。该文首先从数据治理的视角探讨了教育场景的概念和特征,然后分析了当前高校教育场景数据治理中存在的数据不够“大”、数据不够“好”、数据未尽其“用”三个核心问题,提出高校教育场景驱动的数据治理方法和治理流程,教育场景中的原始数据经过数据资产化、数据标准化、数据要素化三个关键环节演化为具有计算属性、组织属性和教育属性的场景数据资产,作为关键要素进入到教育教学过程中,从而形成良性循环的数据资产生态,充分发挥数据资产的教育价值。
One of the important tasks of digital transformation in vocational education is to improve the governance capabilities of universities through data governance.Currently,data governance is showing a trend of being more scenario and intelligent,but the general governance centered on static management and standards is difficult to adapt to changes and innovations in application scenarios.This article first explores the concept and characteristics of higher vocational education scenarios from the perspective of data governance.Then,from the perspective of educational scenarios,it analyzes the three basic problems in current data governance in higher vocational colleges:insufficient“big”data,insufficient“good”data,and incomplete“use”of data.It proposes data governance methods and processes driven by educational scenarios.The raw data in educational scenarios is capitalized,standardized,and elementalized.The three key steps of data element transformation have evolved into scenario data assets with computational,organizational,and educational attributes,which enter the education and teaching process as key production factors,forming a virtuous cycle of data asset ecology and fully leveraging the educational value of data assets.
作者
刘英群
周潜
韩锡斌
Liu Yingqun;Zhou Qian;Han Xibin(Institute of Education,Tsinghua University,Beijing 100084)
出处
《中国电化教育》
北大核心
2024年第1期38-43,67,共7页
China Educational Technology
基金
国家社科基金2019年度教育学一般课题“高职院校信息技术融入技术技能培养的理论与实践研究”(课题编号:BCA10075)研究成果。
关键词
职业教育
数据治理
教育场景
数据资产
数据资产生态
vocational education
data governance
educational scenarios
data assets
data asset ecology
