On Teaching Statistical Practice: From Novice to Expert
| Autor: | Howard Seltman, Joel B. Greenhouse |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Statistics and Probability
Instructional design General Mathematics 05 social sciences 01 natural sciences 050105 experimental psychology Dreyfus model of skill acquisition 010104 statistics & probability Principles of learning Degree program ComputingMilieux_COMPUTERSANDEDUCATION Mathematics education Cognitive apprenticeship 0501 psychology and cognitive sciences 0101 mathematics Statistics Probability and Uncertainty Psychology |
| Zdroj: | The American Statistician. 72:147-154 |
| ISSN: | 1537-2731 0003-1305 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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