Supported by a pending grant from the National Science Foundation’s IUSE (Improving Undergraduate STEM Education) program, Beth Chance will offer a free virtual workshop, titled “Rossman/Chance Applets for Exploring Statistical Concepts,” for teachers of introductory and intermediate statistics. 

 

This workshop will be held in two parts on Fri Sept 22 and Fri Sept 29 from 2-3pm ET (1-2pm CT, 12-1pm MT, 11am-12pm PT).  The first hour of the workshop (Fri Sept 22) is intended for faculty who are less familiar with using applets to teach statistical concepts.  Topics will include measures of center and variability, categorical data, correlation and regression, basic probability, sampling distributions, and traditional inference methods.  The second hour of the workshop (Fri Sept 29) is intended for those who have completed the first hour and for faculty who are more familiar with using applets to teach statistical concepts.  Topics will focus on simulation-based inference and multi-variable thinking.

 

The primary workshop goal is to help faculty participants to teach in accordance with the GAISE recommendation to use technology to explore statistical concepts.  Secondary goals are to help faculty participants to teach simulation-based inference and multivariable thinking.  Additional goals address using applets to foster active learning and teach statistical thinking.  Workshop participants will have the opportunity to explore the applets’ features as Beth demonstrates them.  Beth will also be happy to answer questions during the workshop, and she will also welcome suggestions for improving the applets.

 

Beth has been the primary developer of the Rossman/Chance applet collection for the past 25 years.  The applets, which are freely available and work across various platforms, can be accessed here: http://rossmanchance.com/applets/.

 

This workshop is free, but participants need to register in advance here: https://forms.gle/JU2H1hX7hcuVSLmc9.  A Zoom link will be sent to those who have registered 24 hours in advance.

 

Please help to spread the word to colleagues who might be interested.  Thanks very much,

 

Allan Rossman

arossman@calpoly.edu