About the Workshop
This workshop will share teaching methods and materials developed by the NSF-Funded AIMS (Adapting and Implementing Innovative Materials) project. The activities are designed for use in an introductory, non-calculus based college statistics course. We invite participants who teach statistics and are interested in learning about teaching a student-centered, activity based course that utilizes exemplary software tools, real data sets, and alternative methods of assessment.
Participants are encouraged to bring a laptop to the workshop. However, a few laptops will also be available for people to use.
Location: The workshop will be held on the campus of the University of Minnesota, Twin Cities.
Workshop session times: Friday, June 6 from 8:30am - 5pm and on Saturday, June 7 from 8:30am - 3:30pm. All participants are invited to participate in a kick-off dinner on Thursday evening June 6 at 7pm.
Lodging: Lodging will be provided for workshop participants who live further than 30 miles from the University of Minnesota, Twin Cities at the Days Inn University (known as the Days Hotel as of 1/1/08), located at 2407 University Ave. SE in Minneapolis, on Thursday night, June 5th and Friday night, June 6th. Check-out will be on Saturday morning, June 7th prior to the workshop session. Complimentary wireless internet and continental breakfast is available to all hotel guests.
Transportation: Workshop participants are responsible for their own transportation to and from the workshop. The Minneapolis/St. Paul airport serves this area and the recommended transportation from the airport to the hotel is via SuperShuttle. The hotel provides a complementary shuttle (on a set schedule) to and from campus.
Meals: There will be a kick-off dinner on Thursday, evening at 7pm for all who have arrived. Workshop participants are responsible for their own breakfast each day. There is a complimentary continental breakfast for guest of the Days Inn University/Days Hotel. Lunch will be provided on Friday and Saturday during the workshop sessions. Participants will be on their own for dinner on Friday evening.
Please note: CAUSEway workshops receive principal funding from a National Science Foundation grant. As part of that award, Science and Mathematics Program Improvement (SAMPI) at Western Michigan University will be conducting an independent evaluation of all CAUSEway activities and workshop participants are expected to fully participate in this evaluation.
About the Presenters
Joan Garfield is a professor of Educational Psychology at the University of Minnesota, where she runs a unique graduate program in statistics education and teaches courses on teaching statistics and research in statistics education. She is Associate Director of CAUSE heading the research arm of the consortium. She is an active participant in national and international organizations involving statistics education and is an Associate Editor for the IASE Statistics Education Research Journal. She serves as Vice-Chair for the United States Commission on Mathematics Instruction, is an ASA Fellow and recipient of the ASA Founder's award and currently co-directs (with Bob delMas) two NSF grants (ARTIST and AIMS).
Bob delMas is an Associate Professor, Department of Educational Psychology, University of Minnesota. He is a co-PI of the NSF funded project, Assessment Resource Tools for Improving Statistical Thinking (ARTIST), and of the NSF-funded project Adapting and Implementing Innovative Materials in Statistics Courses (AIMS). He has made several presentations with Joan Garfield and Beth Chance on their joint research into the effective use of software to promote students statistical thinking and reasoning. Their work has been published in the Journal of Statistics Education (JSE) and is highlighted in the book "Statistical Thinking, Reasoning, and Literacy" (Kluwer) that provides an international perspective on current statistics education research. Bob also conducts research on students understanding of the standard deviation, which has been published in the Statistics Education Research Journal (SERJ). He is an associate editor for the Journal of Statistics Education, a research consultant for CAUSE (Consortium for the Advancement of Undergraduate Statistics Education), and the current chair of the Joint ASA/AMATYC committee on Statistics Education.
Andrew Zieffler is a Lecturer in the Department of Educational Psychology at the University of Minnesota. He is a co-PI of the NSF-funded project Adapting and Implementing Innovative Materials in Statistics Courses (AIMS). He is also the project evaluator for the NSF-funded project, Rational Number Project: Instructional Module for Fractions, Decimals, and Percents. His research interests include development of curricula and assessments for use in introductory statistics courses, the use of linear mixed-effects models to examine students' development of statistical reasoning, and the design and improvement of student assessments through psychometric analysis. Andy is currently a member of the Research Advisory Board for CAUSE (Consortium for the Advancement of Undergraduate Statistics Education).