"Interactive Teaching of Probability Distributions Theory and Applications using Data, Models and Webapps"
with Ivo Dinov, UCLA; Kyle Siegrist, University of Alabama; and Dennis Pearl, Ohio State University
Recording
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Abstract
What are efficient, engaging, and modern pedagogical techniques to teach probability theory and applications that leave lasting impressions on learners? The probability Distributome project has developed portable, browser-accessible and extensible resources including:
- Computing probability and critical values for a wide array of distributions
- Exploring probability distribution properties and inter-distributional relations
- Fitting probability distribution models to data
- Virtual resampling and simulation experiments
- Integrated data, web-applications and learning-activities
We will show some of the Distributome web-resources (distributome.org/meetings/eCOTS_2012) and discuss best practices for integrating these tools, web-applications, activities and learning materials in probability and statistics curricula.
Presenters
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Comments
Shonda Kuiper:
The website for the distributome project (Ivo Dinov, Dennis Pearl, and Kyle Siegrist):
www.distributome.org
The website for the Data Games Project (Cliff Konold and William Finzer):
Here is the url for our web site on the Data Games project: www.kcptech.com/datagames
The website for playing games with a purpose (Shonda Kuiper and Rod Sturdivant):
web.grinnell.edu/individuals/kuipers/stat2labs
Another interesting project: Stats Island
www.stat.auckland.ac.nz/~iase/publications/icots8/ICOTS8_5D3_BULMER.pdf