On Teaching Statistical Practice: From Novice to Expert

This article introduces principles of learning based on research in cognitive science that help explain how learning works. We adapt these principles to the teaching of statistical practice and illustrate the application of these principles to the curricular design of a new master's degree prog...

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Bibliographic Details
Published inThe American statistician Vol. 72; no. 2; pp. 147 - 154
Main Authors Greenhouse, Joel B., Seltman, Howard J.
Format Journal Article
LanguageEnglish
Published Alexandria Taylor & Francis 03.04.2018
American Statistical Association
Subjects
Applied Master's degree
Applied statistics
Authentic practice
Cognitive apprenticeship
Cognitive science
Consulting
Instructional design
Learning
Principles
Regression analysis
Statistical methods
Statistics
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Summary:This article introduces principles of learning based on research in cognitive science that help explain how learning works. We adapt these principles to the teaching of statistical practice and illustrate the application of these principles to the curricular design of a new master's degree program in applied statistics. We emphasize how these principles can be used not only to improve instruction at the course level but also at the program level.
ISSN:0003-1305
1537-2731
DOI:10.1080/00031305.2016.1270230