国际教育数据挖掘研究新动向——基于第十五届教育数据挖掘国际会议的分析

New Trends in International Education Data Mining Research——Analysis Based on the 15th International Conference on Educational Data Mining

第十五届教育数据挖掘国际会议的主题为“对教育数据挖掘的研究以及在实践中的包容性、多样性、公平性和可及性评估”。首先对历届教育数据挖掘国际会议的概况进行总结,然后分别从关键词、研究领域、研究方法等角度对第十五届教育数据挖掘国际会议所收录的文献作出分析。研究发现,相较于美国,我国在该领域的研究有较大提升空间,其中学生成绩预测、同伴评估和在线学习等方面的研究开始受到关注。分析结果可使相关学者对教育数据挖掘领域的研究热点有更深了解,也为未来该领域的研究提供了方法与思路。

The theme of the 15th International Conference on Educational Data Mining is research on educational data mining and the assessment of inclusivity,diversity,fairness,and accessibility in practice.Firstly,summarize the overview of previous international education data mining conferences,and then analyze the literature included in the 15th International Education Data Mining Conference from the perspectives of keywords,research fields,and research methods.Research has found that compared to the United States,there is significant room for improvement in research in this field in China,with research on student performance prediction,peer assessment,and online learning receiving attention.The analysis results can provide relevant scholars with a deeper understanding of the research hotspots in the field of educational data mining,and also provide methods and ideas for future research in this field.