|
-
2012 April 25: Deadline
Expression of
Interest (EoI) for Development and implementation of statistical
literacy university course for journalists.
Announcement.
Activity scope and Terms of References. Launch date: April 6. -
2012 April 23.
Lecture: The development of statistical and mathematical literacy
by Iddo Gal at Stellenbosch University.
PDF
2012
April 14.
16th Annual Meeting of the Northeast Consortium on
Quantitative Literacy (NECQL).
Theme: Blended Learning and Technology in QL Education.
Skidmore College, Saratoga
Springs, NY
Program -
2012 April.
Team-Based Learning in a Statistical Literacy Class
by Katherine St. Clair and Laura Chihara (Carleton College). Journal
of Statistics Education Vol 20, Num 1.-
2012 March 8
StatChat Agenda:
Educating Citizen Statisticians by Rob Gould. Coincidence in
Runs and Clusters by Milo Schield 6up
1up.
Macalester College.
2012 March 2. Statistics Symposium at
T^3 Conference
(Teachers Teaching Using Technology) in Chicago.
Statistics Symposium (10:15 a.m. - 5:15 p.m.) Day-long event
featuring presentations and panel discussions on issues related to
the teaching and learning of statistics and on topics that should be
part of a statistics curricula focused on preparing students for a
variety of future options. Presenters include George Cobb, Floyd
Bullard, Tim Erickson and other speakers from both academia and
industry. Milo Schield: Statistical Literacy: A Math-Stats
Alternative
6up 1up
"Good talk" George Cobb.
-
2012 Feb
24 Schield
Lecture on Quantitative Reasoning at Lehman College, NYC.
Statistical Literacy for All
1up
6up. Statistical
Literacy at Augsburg. 1up
6up.
Math dept 6up-
2012 Feb 22-24.
The Sixth Winter Institute On Statistical Literacy For Librarians
(WISLL).
University of Alberta Libraries. This training event will provide
strategies and skills for finding, evaluating and retrieving online
published statistics and will be useful to information professionals
working in academic, public and special libraries.
-
2012: Feb
16-18.
2012 ASA Conference on Statistical Practice Orlando, Florida.
-
2012: Jan
3-24:
Statistical Literacy course at the Brooklyn Brainery.
Taught by Matt Stevens. Four Tuesdays, 6:30-8:00 PM. $65.
"Statistical Literacy is a lecture course, with a few little games
thrown in, but we use as little math as possible, and nothing more
advanced than basic algebra, so beginners are welcome. This course
is devoted to the ideas behind statistics. These ideas are used in
everything from sports to gambling, from physics to opinion polls.
(1) We start with the question of causality: When correlation
means causation, when it doesn't, and how experiments work into it.
These ideas are key both to science and to everyday living. The kind
of science you see in the newspaper will never look the same again.
(2) Then we turn to summarizing variables. I'll show you some
beautiful graphs, some horribly ugly ones, and some of the ways they
can mislead you. We look at three meanings of "average," and how
they can be used to tell different stories. We wrap it all up with
"sigma" -- used in testing and engineering -- and the
"standardizing" of test scores. (3) Next we look for order in the
cloud. How to make sense of a scatterplot, what "correlation" means,
and look at the all-important "regression effect," critical to
understanding the "Sports Illustrated cover jinx." We'll touch on
the Ecological Fallacy, and how it affects our view of Red States
and Blue. (4) Finally, in the last section, we start by rolling dice
and flipping coins to find that the "law of averages" isn't a law at
all. That takes us to the Normal Curve, which helps us learn what
pollsters mean by "margin of error" and what scientists mean by
"statistical significance." (5) With these covered, you'll know just
about all the statistics you need to understand the modern world." -
2012: Jan 4-7:
MAA Joint Mathematical Meeting. Boston.
Tues 8-5: Identify/Address Difficult Concepts in the
Introductory Statistics Course. Marjorie Bond.
MAA Ancillary Workshop.
Tues 9-4:30: Teaching Modeling-Based Calculus Hampton 3rd
Floor Sheraton. Daniel Kaplan, Daniel Flath, Randall Pruim and
Eric Marland.
Wed 9-11:
Teaching introductory statistics. Part A Salon
HI, 4th Floor, Marriott.
MAA Minicourse #14.
Wed 9-10:20. MAA/NCTM Mutual Concerns Committee Panel Discussion
Why is transition from high school to college important? Issues and
next steps. Room 309, Hynes Organizer: Gail Burrill, Michigan
State. Panelists: Arthur Benjamin, Harvey Mudd College
David Bressoud, Macalester College William McCallum, University of
Arizona Daniel Teague, North Carolina School for Science and
Mathematics Paul Zorn, St. Olaf College
Wed 2:15-6:40. MAA-AMS Invited Paper Session on the Philosophy of
Mathematics Room 302, Hynes Organizers: Thomas Drucker,
University of Wisconsin-Whitewater Bonnie Gold, Monmouth University
and Daniel Sloughter, Furman University. 2:15 p.m. Is Mathematics
the Language of Physics? Arthur M Jaffe*, Harvard University
(1077-AJ-71)
Wed 2:15 -3:35
Statistics and probability in the Common Core State Standards
Panel Discussion. SIGMAA-StatEd/ASA-MAA Joint
Committee on Statistics Education. Room 309, Hynes .
Organizers: Nancy Boynton, SUNY Fredonia Gail Burrill, Michigan
State University Ann Watkins, California State University,
Northridge. Panelists: Christine Franklin, University
of Georgia Joan Garfield, University of Minnesota Roxy Peck,
California Polytechnic State University, San Luis Obispo J. Michael
Shaughnessy, National Council of Teachers of Mathematics Andrew
Zieffler, University of Minnesota
Wed 5:45 p.m.-7:15 p.m. SIGMAA on Statistics Education Business
Meeting and Reception Room 202, Hynes
Wed 8:30-9:30 PM A 250-year argument: Belief, behavior, and the
bootstrap. Ballrooms A/B, 3rd floor, Hynes Bradley Efron,
Stanford U.
Thursday 2-4 PM poster session: Quantitative Reasoning in the
Contemporary World. Stuart Boersma*, Bernard L. Madison, Caren
Diefenderfer and Shannon Dingman.
Thursday 2-4 PM poster session: Evaluation and Assessment of
Teaching and Learning About Statistics (e-ATLAS). Joan Garfield*,
Bob delMas and Andy Zieffler.
Friday: 9-11.
Teaching introductory statistics. Part B Salon
HI, 4th Floor, Marriott
MAA Minicourse #14.
Friday 5-6 p.m. SIGMAA on Quantitative Literacy Business Meeting
Room 309, Hynes
Quantitative Literacy and Decision Making Friday, 8:00 –
10:55 a.m., Hynes 202 Organizers: Eric Gaze, Bowdoin College;
Cinnamon Hillyard, University of Washington Bothell; and Semra
Kilic-Bahi, Colby Sawyer College Description: Our
students are being asked to make decisions in an increasingly
complex world that require fundamental quantitative literacy in
diverse fields such as personal health, finance, and public policy.
The ability to reason from evidence by questioning assumptions and
premises, and assessing the veracity of claims is especially
critical when arguments are based on data and mathematical models.
Students' abilities to obtain, process, and understand information
related to such issues is crucial for them in making well-informed
decisions and participating in a democratic society. This session
seeks papers that discuss courses, classroom materials, curricular
and/or extracurricular activities that focus on exploring the use
and misuse of mathematical concepts related to making important
decisions that affect the personal, professional, and academic lives
of our students. All presentations are expected to be scholarly in
nature, including some evidence (qualitative or quantitative) of the
effectiveness of the activity. Sponsor: SIGMAA QL.
Speakers: 9:00 a.m. Using MS Excel to Improve Understanding
of Financial Mathematics. Paul Taylor*, Shippensburg University
(1077-L5-930) 9:20 a.m. Complex Systems and K-16 Curricula. R
W DeGray*, Saint Joseph College, Connecticut (1077-L5-1058) 9:40
a.m. The Financing Choices of American Consumers: The Influence
of Quantitative Literacy, Cognitive Disposition and Material Values.
Cinnamon Hillyard*, University of Washington Bothell Pete Nye,
University of Washington Bothell (1077-L5-1244) 10:00 a.m. The
Financial Literacy Project at Dartmouth College: Online Classroom
Resources and Modules. Eric C Gaze*, Bowdoin College
(1077-L5-2563)
Innovations in Teaching Statistics in the New Decade
Organizers:
Andrew Zieffler, University of Minnesota; Brian Gill, Seattle
Pacific University; and Nancy Boynton, SUNY Fredonia. Description: What have you found that is working particularly
well in your statistics class? What did you try that really didn't
work? What went wrong? Are there new technologies, websites,
textbook ancillary materials activities or other teaching methods
that are working well for you? What shouldn't we let go of from the
traditional courses? And what should we let go of? Tell us about
your course – especially what makes it successful. We encourage
contributions concerning either an introductory or a more advanced
undergraduate course. Sponsor: SIGMAA on Statistics
Education. Presenters will be considered for the Dex Whittinghill
Award for Best Contributed Paper.
Session I Friday, 1:00 – 6:00 p.m., Back Bay B, 2nd
floor Sheraton Hotel. 1:00 p.m. Introductory
Statistics with a Central Theme: "Statistical Reasoning" Courses
That Interest Students. David G Taylor*, Roanoke College Adam F
Childers, Roanoke College (1077-E5-907) 1:20 p.m. How the
Analysis of Current Economic Growth, Income and Employment Can Be
Used in Teaching an Introductory Statistics Course that Speaks to
Students. Alexander G. Atwood*, SUNY Suffolk County Community
College (1077-E5-2901) 1:40 p.m. Mathematics and the Law: How Big
Should a Jury Be, and How Should It Render Its Decision? Jeff A
Suzuki*, Brooklyn College (1077-E5-72) 2:00 p.m. Read and
Reflect: Making Statistics Real. Heather Hulett*, Univ. of
Wisconsin-La Crosse Barbara Bennie, Univ. of Wisconsin-La Crosse
(1077-E5-2631) 2:20 p.m. Statistics Scrapbooks in Elementary
Statistics. Julie Beier*, Mercer University (1077-E5-1660) 2:40
p.m. Using an Online Homework System in an Introductory
Statistics Course: Instructor and Student Perspectives. Lisa
Carnell*, High Point University (1077-E5-1849) 3:00 p.m. Descent
into `The Abyss' of Least-Squares Linear Regression. Charles
Bergeron*, Albany College of Pharmacy and Health Sciences David
Clarke, Albany College of Pharmacy and Health Sciences
(1077-E5-2782) 3:20 p.m. Playing Games with a Purpose. Shonda
Kuiper*, Grinnell College (1077-E5-1653) 3:40 p.m. Playing Games
with a Purpose: Initial Lessons from the Classroom. Kevin F.
Cummiskey*, United States Military Academy William H. Kaczynski,
United States Military Academy (1077-E5-1824) 4:00 p.m. Using R
in an Undergraduate Statistics Course. Judith E Canner*,
California State University, Monterey Bay Jon Detka, California
State University, Monterey Bay (1077-E5-741) 4:20 p.m.
Probability Density Functions from Real-World Applications.
Annela R Kelly*, Bridgewater State University (1077-E5-2770) 4:40
p.m. Cutting Through the Theory: Emphasizing Statistical Thinking
in Mathematical Statistics. Jennifer L. Green*, University of
Nebraska-Lincoln Erin E. Blankenship, University of Nebraska-Lincoln
(1077-E5-2100) 5:00 p.m. Value and Relevance of an Engineering
Statistics Course. Kumer Das*, Lamar University, Beaumont, TX
(1077-E5-2547)
Session II Saturday 1-5 PM. Back Bay Ballroom C, 2nd
Floor, Sheraton. 4:20 p.m. Teaching Statistical Literacy
Entirely Online: 2011. Milo Schield*, Statistical Literacy
Project (1077-E5-2503) 4:40 p.m. A Statistical Odyssey:
Modernizing the Discussion Board to Enhance Student Engagement.
Kimberly J Presser*, Shippensburg University (1077-E5-1341)
Motivating Statistical and Quantitative Learning through
Social Engagement Saturday, 8:40 – 10:55 a.m., Hynes 203 Organizers: Brian Gill,
Seattle Pacific University; Eric Gaze, Bowdoin College; Andrew
Zieffler, University of Minnesota; and Stuart Boersma, Central
Washington University. Description: It is important for
our students to learn to apply statistics and quantitative methods
to real problems. Our students are interested in service learning
and civic engagement and they provide important ways for students to
both do useful work and also better understand the techniques that
they learn in their courses. Social justice is not often discussed
in mathematics or statistics courses; however, we can use
quantitative techniques to better understand the differences in the
lives of people in various segments of society. We invite
submissions that describe successful statistics or quantitative
literacy courses that include a service learning, social justice or
civic engagement component. Sponsors: SIGMAA on Statistics
Education and SIGMAA on Quantitative Literacy. Presenters
identifying their presentation as being about a statistics course
will be considered for the Dex Whittinghill Award for Best
Contributed Paper.
Speakers: 8:40 a.m. Mathematics for a Just World:
Teaching Quantitative Literacy Through Social Justice Issues and
Service Learning. Bonnie J Shulman*, Bates College, Lewiston, ME
(1077-J1-143) 9:00 a.m. Quantitative Literacy in a First-Year
Seminar Course. Maria G Fung*, Worcester State University
(1077-J1-1973) 9:20 a.m. Service Learning Project in a First-Year
Seminar. Zeynep Teymuroglu*, Rollins College (1077-J1-768) 9:40
a.m. Service-Learning Projects and Activities that Engage Liberal
Arts Mathematics Students: Implementation and Assessments.
Morteza Shafii-Mousavi*, Indiana University South Bend Paul
Kochanowski, Indiana University South Bend (1077-J1-169) 10:00 a.m.
Quantitative Reasoning and Informed Citizenship: Building
Students' Awareness of Social Issues. Alicia Sevilla*, Moravian
College Kay Somers, Moravian College (1077-J1-2467) 10:20 a.m.
Math Trails in Undergraduate Mathematics. Mike Daven, Mount
Saint Mary College Lee Fothergill*, Mount Saint Mary College
(1077-J1-161) 10:40 a.m. How Does Acceptance of Lesbian and Gay
Men Spread in a Social Network? Angela Vierling-Claassen*,
Lesley University Dorea Vierling-Claassen, Brown University
(1077-J1-784)
|
2012 04/30/12
