摘要
随着教育数据挖掘的重要性日益凸显,数据挖掘技术不断在外语教育研究中得到应用。本文结合文献计量和内容分析的方法,以CSSCI期刊上发表的176篇外语教育数据挖掘实证研究文献为研究对象,从文献年度分布、学科分布、数据挖掘技术使用分布、研究内容等方面,回顾了我国外语教育数据挖掘的研究现状,指出了研究不足,对未来研究提出了建议并进行了展望。
As educational data mining becomes increasingly important, data mining techniques have been repeatedly used in foreign language educational research. Combining bibliometric method and content analysis, the current research analyzed 176 empirical studies of foreign language educational data mining from CSSCI journals. Digging the distribution of publication years, journals' and authors' disciplines, data mining techniques used and research content, this paper clarified the state of art of foreign language educational data mining research in China, pointed out the limitations of previous studies, and provided suggestions to and outlooks of the future research.
出处
《外语与翻译》
2018年第1期79-86,98,共8页
Foreign Languages and Translation
基金
教育部人文社会科学研究西部项目“基于数据挖掘的外语学习预警机制研究”(项目号:17XJC740009)资助
