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 in:	The American statistician Vol. 72; no. 2; pp. 147 - 154
Main Authors:	Greenhouse, Joel B., Seltman, Howard J.
Format:	Journal Article
Language:	English
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 TEACHER'S CORNER
Online Access:	Get full text
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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