Introduction to data mining for educational researchers

Christopher A. Brooks, Craig D. S. Thompson, Vitomir Kovanovíc
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引用次数: 3

Abstract

The goal of this tutorial is to share data mining tools and techniques used by computer scientists with educational social scientists. We broadly define educational social scientists as being made up of people with backgrounds in the learning sciences, cognitive psychology, and educational research. The learning analytics community is heavily populated with researchers of these backgrounds, and we believe those that find themselves at the intersection of research, theory, and practice have a particular interest in expanding their knowledge of datadriven tools and techniques.
教育研究人员数据挖掘导论
本教程的目标是与教育社会科学家分享计算机科学家使用的数据挖掘工具和技术。我们将教育社会科学家广义地定义为具有学习科学、认知心理学和教育研究背景的人。学习分析社区中有大量具有这些背景的研究人员,我们相信那些发现自己处于研究、理论和实践交叉点的研究人员对扩展数据驱动工具和技术的知识有特别的兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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