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Workshop

 

Teaching Introductory Statistics following GAISE and the Common Core

Wednesday, January 5th, 2011, 9am - 5pm

An MAA Ancillary Workshop.
Preceding JMM 2011 in New Orleans.

Presenters: Robert Gould, UCLA & Daniel Kaplan, Macalester College


About the Workshop

Workshop will be held in the Grand Chenier Room, 5th floor, Sheraton New Orleans
500 Canal Street • New Orleans, LA 70130 • United States
Phone: (504) 525-2500, Toll-Free: (800) 325-3535

Workshop participants are encouraged to bring their own laptops and to make their lodging reservations through the conference site to obtain any available conference discounts.

No registration fee to attend, but advance registration is required. Workshop materials and lunch will be provided. Parking at the Sheraton New Orleans premises is available to hotel guests only.

Abstract

The Consortium for the Advancement of Undergraduate Statistics Education (CAUSE) will be hosting a one-day auxiliary workshop at the Joint Mathematics Meetings in New Orleans on Wednesday, January 5. The workshop, "Teaching Introductory Statistics Following GAISE and the Common Core", will be led by Danny Kaplan (Macalester College) and Robert Gould (UCLA). GAISE, the Guidelines for Assessment and Instruction in Statistics Education, doesn't dictate specific content but gives prominence to approaches that develop statistical reasoning and literacy. The new Common Core Standards for Mathematics, already adopted or being considered for adoption by many states, specifies some components of statistical origin, but is not broadly oriented to develop statistical thinking. The New Orleans workshop will demonstrate ways to align the GAISE statistical pedagogy with the Common Core content. It will emphasize the use of technology for two related purposes: analyzing data and developing and exploring fundamental statistical concepts. The goal is to use the Common Core components to develop effective statistical thinking.

About the Presenters

Robert GouldRobert Gould received a B.S. in Applied Mathematics from Harvey Mudd College in 1987 and a Ph.D. in Mathematics from U.S. San Diego in 1994. He has been with the UCLA Statistics Department since its founding in 1998 (before which he was in the UCLA Mathematics Department) where he has served as Vice-chair of Undergraduate Studies and Director of the Center for Teaching Statistics. Statistics Education is a passion, and he has served on several ASA educational related committees and projects, including the Undergraduate Statistics Education Initiative, the Advisory Committee on Teacher Enhancement, and the GAISE writing committee. He has been a reader for AP Statistics for several years, and a co-PI with Roxy Peck on the INSPIRE program to provide statistical training for AP Stats teachers. Currently, he is chair of the ASA Section on Statistics Education and president of his local chapter of ASA. He loves gadgets of all kinds, and is currently looking for a good educational use for an iPad.


Daniel KaplanDaniel Kaplan is DeWitt Wallace Professor at Macalester College where he teaches applied statistics, mathematics, and computer science. He is the author of several textbooks, including Introduction to Statistical Modeling. (See www.macalester.edu/~kaplan/ISM.) He won Macalester's annual Excellence in Teaching award in 2006.