大数据应用于教育决策的可行性与潜在问题研究

发布时间：2018-01-06 09:00

本文关键词：大数据应用于教育决策的可行性与潜在问题研究　出处：《电化教育研究》2017年11期 　论文类型：期刊论文

【摘要】：通过对大数据特征的考察,结合教育决策过程本质及需求,研究发现:(1)大数据应用于教育决策具有一定的可行性,大数据可以为教育决策提供科学的证据支持。(2)大数据应用于教育决策时会遇到一些潜在的问题,如大数据自身的异质性、价值密度低的特性会影响教育决策的科学性。决策主体的数据能力瓶颈和价值偏好会制约决策的有效性。规范缺位增加了大数据应用于教育决策的风险性。(3)为推动大数据科学化应用于教育决策,需要完善大数据各类标准建设,夯实各类大数据仓库基底。培养大数据整合与分析人才,为决策主体提取有效证据信息。逐步建立大数据应用规范,规避应用过程中的负向影响。推进大数据相关理论研究,提升大数据转化为决策依据的能力。
[Abstract]:Based on the study of big data's characteristics and the nature and demand of educational decision-making process, it is found that the application of big data to educational decision-making is feasible. Big data can provide scientific evidence for educational decision-making. (2) big data will encounter some potential problems when applying to educational decision-making, such as big data's heterogeneity. The characteristics of low value density will affect the scientific nature of educational decision making. The bottleneck of data ability and value preference of decision makers will restrict the effectiveness of decision making. The absence of norms increases the risk of big data's application in educational decision-making. 3) to promote big data's scientific application in educational decision-making. It is necessary to perfect the construction of various standards of big data, consolidate the bases of all types of big data warehouse, train big data integration and analysis talents, extract effective evidence information for decision makers, and gradually establish big data application standards. To avoid the negative influence in the process of application, to advance the research of big data's related theory, and to enhance the ability of big data to transform into the basis of decision.
【作者单位】：华东师范大学教育学系/教育经济宏观政策研究院;
【分类号】：G434
【正文快照】： 2011年,世界著名咨询公司麦肯锡在《大数据:创新、竞争和生产力的下一个前沿领域》报告中首次提出和使用“大数据”这一概念。世界经济论坛2012年发布的Big Data Big Impact:New Possibilities forInternational Development报告,指出了大数据的发展为世界带来的新机遇,[1]大

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