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Abstract Details

Activity Number: 10
Type: Invited
Date/Time: Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Education
Abstract - #303693
Title: Models and Modeling in Introductory Statistics Classes
Author(s): Daniel Kaplan*+ and Cliff Konold*+ and Robin Lock*+ and Andrew Zieffler*+
Companies: Macalester College and University of Massachusetts-Amherst and St. Lawrence University and University of Minnesota
Address: Department of Mathematics, Statistics, and Compute, St. Paul, MN, 55105, Scientific Reasoning Research Institute, Amherst, MA, 01003, Mathematics Department, Canton, NY, 13617, 250 Education Sciences Building, Minneapolis, MN, 55455, United States
Keywords: teaching ; introductory statistics ; modeling ; simulation ; technology ; assessment

This panel will discuss issues related to teaching and learning modeling in introductory statistics classes. With recent and increasing interest in teaching students methods of simulation, randomization, and resampling to analyze data and make inferences, questions arise regarding the best ways to teach this new content, to use technology, which tools to use, and effective ways to assess what students are learning. Models become an important concept in their own right as students need to consider and specify models to simulate data as well consider how well a particular model fits a real world context, and how useful it is for particular purpose. Examples of materials, tools, methods, and assessments will be shared, discussed and debated.

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