Profiles in the Teaching of Experimental Design and Analysis

被引：3

作者：

Smucker, Byran J. ^{[1
]}

Stevens, Nathaniel T. ^{[2
]}

Asscher, Jacqueline ^{[3
]}

Goos, Peter ^{[4
,5
]}

机构：

[1] Miami Univ, Dept Stat, Oxford, OH 45056 USA

[2] Univ Waterloo, Dept Stat & Actuarial Sci, Waterloo, ON, Canada

[3] Kinneret Coll Sea Galilee, Sch Engn, Tzemach, Israel

[4] Katholieke Univ Leuven, Dept Biosyst, Leuven, Belgium

[5] Univ Antwerp, Dept Engn Management, Antwerp, Belgium

来源：

JOURNAL OF STATISTICS AND DATA SCIENCE EDUCATION | 2023年 / 31卷 / 03期

关键词：

Active learning; Data science education; Experiment; Online experimentation; Optimal design; Statistics education; RESPONSE-SURFACE DESIGNS; STATISTICS; FACTORIAL;

D O I：

10.1080/26939169.2023.2205907

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

The design and analysis of experiments (DOE) has historically been an important part of an education in statistics, and with the increasing complexity of modern production processes and the advent of large-scale online experiments, it continues to be highly relevant. In this article, we provide an extensive review of the literature on DOE pedagogy, and provide five perspectives on the subject: one from each of the authors as well as a composite profile derived from a survey of DOE instructors. Our work provides a snapshot of current DOE pedagogy that showcases both the similarities and variety in how the subject is taught, as well as a look ahead at how its instruction may evolve. for this article are available online.

引用

页码：211 / 224

页数：14

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