ISSN 1008-2204
CN 11-3979/C
雷晓锋, 杨明. 教育数据挖掘的研究进展与趋势[J]. 北京航空航天大学学报社会科学版, 2018, 31(4): 108-114. DOI: 10.13766/j.bhsk.1008-2204.2016.0231
引用本文: 雷晓锋, 杨明. 教育数据挖掘的研究进展与趋势[J]. 北京航空航天大学学报社会科学版, 2018, 31(4): 108-114. DOI: 10.13766/j.bhsk.1008-2204.2016.0231
LEI Xiaofeng, YANG Ming. Research Progress and Trend of Educational Data Mining[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2018, 31(4): 108-114. DOI: 10.13766/j.bhsk.1008-2204.2016.0231
Citation: LEI Xiaofeng, YANG Ming. Research Progress and Trend of Educational Data Mining[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2018, 31(4): 108-114. DOI: 10.13766/j.bhsk.1008-2204.2016.0231

教育数据挖掘的研究进展与趋势

Research Progress and Trend of Educational Data Mining

  • 摘要: 信息技术在教育领域的广泛应用,使得教育数据呈爆炸式增长。通过数据挖掘技术对教育数据进行探索和分析,可以发现教育的新特点、新规律,提高决策水平和教育质量。国外从20世纪90年代开始数据挖掘的研究,并引入教育领域。基于Web of Science数据库1995—2015年的英文文献分析,可以了解该领域在特征、概念、过程和方法等方面研究进展,以及在优化技术与促进与教育理论融合方面的研究兴趣点和未来发展趋势。

     

    Abstract: Information technology, such as Big Data and Cloud Computing, is widely used in the educational field, which makes educational data to grow at an exponential rate. We can discover new characteristics and laws hiding in the educational fields through educational data mining so as to improve the decision level and quality of education. This paper reviews the development situation in terms of characteristics, concept, processes, and methods. It also presents points of interest and trends of educational data mining based on the relevant literature from Web of Science between 1995 and 2015.

     

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