NDLI: On Teaching Statistical Practice: From Novice to Expert

Content Provider	Semantic Scholar
Author	Greenhouse, Joel B. Seltman, Howard J.
Copyright Year	2018
Abstract	AbstractThis 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.
Starting Page	147
Ending Page	154
Page Count	8
File Format	PDF HTM / HTML
DOI	10.1080/00031305.2016.1270230
Volume Number	72
Alternate Webpage(s)	http://www.stat.cmu.edu/sites/default/files/On%20Teaching%20Statistical%20Practice%20From%20Novice%20to%20Expert.pdf
Alternate Webpage(s)	http://repository.cmu.edu/cgi/viewcontent.cgi?article=1232&context=statistics
Alternate Webpage(s)	http://www.stat.cmu.edu/tr/novice.pdf
Alternate Webpage(s)	https://doi.org/10.1080/00031305.2016.1270230
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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