摘要
大数据领域近年来蓬勃发展,作为大数据的细分领域,教育大数据具有推动教育变革的巨大潜力。大数据技术正在快速演进之中,这为大数据应用提供了新的可能。为了深入分析教育大数据发展,从大数据技术的最新进展入手,从基础设施、分析技术和领域应用方面阐述了大数据的发展趋势。进而通过教育领域大数据构成与特征的分析,对教育大数据的含义进行了解析。并结合国际范围内教育大数据典型实践,从适应性教学、教育规律发现和精准管理支持的角度,对教育大数据应用进行了探讨。最后,针对我国教育大数据的发展状况,对教育大数据发展所面临的挑战进行了分析,并提出了应对挑战的建议。
Big Data has developed fast in recent years. As a branch of Big Data, Educational Big Data has enormous potential to promote education reform. The technology of Big Data is rapidly evolving, which provides new possibilities to educational usage. To in-depth analysis of Big Data in Education, this paper describes the latest progress of Big Data technology from the point views of infrastructure building, analytical, technology and field application. Then through the analysis of the component and characteristics of educational data, the meaning of Educational Big Data was elaborated. Based on the international best practice of Educational Big Data, the application of Big Data in Education field was analyzed from the perspectives of the adaptive learning, education rules and precise management. Finally, this paper summarizes the challenges of Educational Big Data and suggests possible solutions.
出处
《远程教育杂志》
CSSCI
2016年第5期41-49,共9页
Journal of Distance Education
基金
北京师范大学自主科研基金项目"学习者在线学习状态分析与可视化工具研发"(SKZZB2015013)课题成果
中央高校基本科研业务费专项资金资助
关键词
教育大数据
大数据技术
数据湖
雾计算
人工智能
适应性学习
精准管理
Educational big data
Big data technology
Data lake
Fog computing
Artificial intelligence
Adaptive learning
Precise management
