中国教育类核心期刊 CSSCI来源期刊 RCCSE中国权威学术期刊

精品文章

您的位置:首页 >精品文章>

    国际教育数据挖掘研究现状的可视化分析: 热点与趋势

    Visual Analysis of Research Status of International Educational Data Mining: Hotspots and Trends

【作      者】:

牟智佳,俞显,武法提


【关 键 词 】:

教育数据挖掘;学习分析;研究热点;演进趋势;可视化分析


【栏      目】:

历史与国际比较


【中文摘要】:

教育数据量的急剧增长、类型的多样性与可获取性以及教育计算的兴起推动了教育数据研究的发展,并引 起了国际研究者的深度关注与探索。研究以Web of Science 数据库中的教育数据挖掘类文献为样本数据,以知识图谱分 析、社会网络分析、聚类分析为研究方法,分别采用CiteSpcae III、Unicet 6.0、Bicomb 2.0、SPSS 20.0 对数据进行定量分 析。研究结果显示,数据刻画学习者模型、生成有效学习的教学支持、学习行为模式与特征、学习表现预测、学习反馈与 评价等为主要研究热点。最后,文章从学习情感识别与计算、人工智能分析与应用、学习推荐系统、个性化学习路径等方 面对研究趋势进行讨论。


【英文摘要】:

The development of educational data research has been pushed forward by rapid growth of the amount of educational data, the diversity of its types, its accessibility and educational computing as well. Many international researchers pay much attention to it. This study, which takes the educational data mining literature in Web of Science database as sample data and adopts knowledge mapping analysis, social network analysis and clustering analysis as research methods, conducts a quantitative analysis by using CiteSpace III, Unicet6.0, Bicomb2.0 and SPSS20.0. The results indicate that describing learner's model based on data, instructional support generating effective learning, learning behavior patterns and characteristics, learning performance prediction, learning feedback and evaluation are among current research hotspots. Then, this study predicts the research trends from learning emotion recognition and computation, artificial intelligence analysis and application, learning recommendation system and personalized learning path.


【下      载】:

国际教育数据挖掘研究现状的可视化分析: 热点与趋势

网站首页 | 联系我们 | 意见建议| 杂志订阅| 管理部登录

版权所有 © 电化教育研究 CopyRight ©e-EDUCATION RESEARCH 2011-2018 电话:0931-7971823 地址:西北师范大学《电化教育研究》杂志社