摘要
教育大数据的研究与实践价值不是为了建立教育的过程数据集,而在于帮助教育行业的利益相关者从过程数据集中发现隐含的教育关系,以变革和优化教育教学行为。文章结合教育大数据应用中的已有经验与存在问题的分析,从价值发现的视角,对如何合理理解和运用教育大数据进行了探索,构建了包含三个层次的价值及其关系模型,包括由本体共生的表征价值、由交互过程产生的关联价值以及由多方协同创生的决策价值等。文章还结合具体的应用实践,从共建共享数据、引导数据探索、合理调节代价等方面提出了促进教育大数据价值实现的路径。
The value of research and practice of big data in education is not to establish the data set of education process but to help the stakeholders to discover the implicit educational relationships in the data set for the purpose of changing and optimizing educational behaviors. Based on the analysis of existing experience and problems in the application of big data in education, this article explores how to properly understand and use big data in education from the perspective of value discovery, and then constructs a model of three levels of value together with their relations, including the representation value grown with its ontology, the relevance value generated by the interaction process, and the decision-making value created by multiple parties collaboratively. Combined with specific application and practice, this article puts forward how to promote the value realization of big data in education from co-constructing and sharing data, guiding data exploration, reasonably adjusting the cost.
作者
刘桐
沈书生
LIU Tong;SHEN Shusheng(Department of Educational Science, Nanjing Normal University, Nanjing Jiangsu 210097)
出处
《电化教育研究》
CSSCI
北大核心
2018年第6期54-60,共7页
E-education Research
基金
江苏省高校优势学科建设工程(PAPD)资助项目"南京师范大学教育学优势学科"
关键词
教育大数据
数据表征
数据关联
教育决策
价值实现
Big Data in Education
Data Representation
Data Association
Educational Decision-making
Value Realization
