Uncertainty quantification (UQ) as an archetype for research: Integrating UQ into undergraduate research education

被引:0
|
作者
Aakash, B. S. [1 ]
Perez-Roldan, D. [1 ]
Ibrahim, A. [2 ]
Shields, M. D. [1 ]
机构
[1] Johns Hopkins Univ, Dept Civil Engn, Baltimore, MD 21218 USA
[2] Johns Hopkins Univ, Ctr Educ Resources, Baltimore, MD USA
关键词
course-based undergraduate research experiences; uncertainty quantification; undergraduate STEM education; RESEARCH EXPERIENCES; BENEFITS;
D O I
10.1109/fie43999.2019.9028397
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This submission is for a Work In Progress paper in the Innovative Practice Category. This paper presents the results of a research study that examined the effects of teaching undergraduates about scientific research through the lens of Uncertainty Quantification (UQ) on their understanding of scientific research. UQ is a vibrant area of mathematical, scientific, and engineering research that can be studied in every discipline of scientific inquiry. Here, we present the initial findings of this program. We discuss the path forward for a broader implementation of U-Q as a tool to engage undergraduates in scientific research, encourage them to pursue STEM careers. We also discuss the practical implications of understanding UQ in a broader societal context where research-based decision-making requires accounting for uncertainties.
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页数:5
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