Integrated STEM Learning within Health Science, Mathematics and Computer Science

被引：0

作者：

Droppa, Marjorie ^{[1
]}

Lu, Wei ^{[1
]}

Bemis, Shari ^{[1
]}

Ocker, Liette ^{[2
]}

Miller, Mark ^{[1
]}

机构：

[1] Keene State Coll, Dept Hlth Sci, Keene, NH 03431 USA

[2] Sam Houston State Univ, Dept Kinesiol Fac, Huntsville, TX 77340 USA

来源：

2015 5th IEEE Integrated STEM Education Conference (ISEC) | 2015年

关键词：

academic achievement; machine learning techniques; STEM; risky wellness behavior;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this integrated STEM learning module we developed a data collection tool and used innovative analysis methods to investigate the relationship between academic achievement and risky wellness behaviors among college students. Exploratory factor analysis (EFA) was performed using data from college students (n = 1,499) at a large north-central university. Advanced machine learning analysis techniques found a strong connection between student wellness behavior and academic achievement and that this relationship can be predicted using wellness behavior data. The real world research project in this study integrated educational activities among Mathematics, Computer Science, and Health Science creating an interdisciplinary learning experience within Science, Technology, Engineering and Mathematics (STEM).

引用

页码：242 / 245

页数：4

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