Upcoming webinars

Statistical Tools to learn about Climate Change

20 June 2024; 20:00 UTC (see below for localized date/time)

Webinar duration: 90 minutes

Presenter(s): Joachim Engel and Laura Martignon, Ludwigsburg University of Education, Germany

The webinar presents and discusses educational materials that aim to (1) enable students (middle school, high school, college) to explore important data sets providing evidence of climate change and related phenomena such as rising temperatures and CO2 levels in the atmosphere, melting glaciers, (2) to empower students to evaluate risks related to issues of environmental policy as well as to individual life style choices (3) and to initiate reflections and discussions among students on how to regulate access to and use of common goods within a game-line scenario called Mazu.

All tools are based on CODAP and plug-ins designed by Tim Erickson.

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Joachim Engel, I am professor emeritus of mathematics and mathematics education. I received a diploma in mathematics from the University of Bonn and a Ph.D. in applied mathematics from the University of Southern California. Early on, I was fascinated by the mathematics of uncertainty. Over the years my focus shifted from orthodox theory of probability and statistics towards bridging human understanding and sense making in situations of risk and uncertainty. Educating the public to better understand statistics about society is a burning issue where statistics education can make an important contribution to society. I have been coordinator of the ProCivicStat project that aims to empower people to engage in informed decision making and participate in evidence based public policy. After my formal retirement in 2020 I still continue to teach some courses and do editorial work, with a focus on enhancing the public’s understanding of statistics in the areas of health, environment and democratic values.

Laura Martignon obtained a bachelor’s degree and a master’s degree in mathematics at Universidad Nacional de Colombia in Bogotà and a doctorate at the University of Tübingen. Since 2003, she has worked as Professor of Mathematics and Mathematical Education at the Ludwigsburg University of Education. She was one of the founding members of the ABC Center for Adaptive Behavior and Cognition, directed by Gerd Gigerenzer. Her main academic contributions have been in probabilistic reasoning and decision-making. She is best known for having conceptualized and defined fast-and-frugal trees for classification and decision-making, proving their fundamental properties, and creating a theoretical bridge from natural frequencies to fast-and-frugal heuristics for classification and decision-making.

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Starting at:
20 Jun, 12:00 pmAnchorage
20 Jun, 1:00 pmLos Angeles
20 Jun, 2:00 pmDenver
20 Jun, 3:00 pmChicago
20 Jun, 4:00 pmNew York
20 Jun, 3:00 pmBogota
20 Jun, 5:00 pmHalifax, Manaus
20 Jun, 5:00 pmBuenos Aires, Rio de Janeiro
20 Jun, 9:00 pmLondon, Lisbon
20 Jun, 10:00 pmParis, Rome, Lagos
20 Jun, 11:00 pmTallinn, Jerusalem, Ukraine, Harare
20 Jun, 11:00 pmIstanbul
20 Jun, 11:00 pmMoscow, Nairobi, Riyadh
21 Jun, 12:30 amTehran
21 Jun, 12:30 amKabul
21 Jun, 2:00 amDhaka
21 Jun, 4:00 amPerth, Beijing
21 Jun, 6:00 amBrisbane
21 Jun, 5:30 amAdelaide
21 Jun, 6:00 amSydney
21 Jun, 8:00 amAuckland

Teaching and Learning Statistics in an AI World

27 August 2024; 19:00 UTC (see below for localized date/time)

Webinar duration: 90 minutes

Presenter(s): Gail Burrill, Program in Mathematics Education, Michigan State University & Amanda Ellis, Biostatistics, University of Kentucky

Technology today can retrieve, manage, and analyze vast amounts of data; create complex interactive visualizations; and manipulate mathematical symbols. And more - software such as PhotomathTM or SymbolabTM, that can do almost any problem in algebra, geometry, calculus, or linear algebra along with showing the solution steps, calls into question what is important to teach. The introduction of generative AI tools such as ChatGPT(TM) into the education landscape presents opportunities for students to investigate problems but also can aid in developing lessons and course materials and can serve as a mathematical assistant for querying facts, acting as a mathematical search engine. The webinar will focus on how to leverage these tools for both the teaching and learning of statistics and data science.

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An Academic Specialist in the Program for Mathematics Education at Michigan State University, Gail Burrill, was a secondary mathematics teacher in Wisconsin and was awarded the Presidential Award for Teaching Mathematics. She served as President of the National Council of Teachers of Mathematics, President of the International Association for Statistical Education, and President of the Council of Presidential Awardees in Mathematics. She is an elected member of the International Statistics Institute and has received the NCTM Life-Time Achievement Award, the Ross Taylor /Glenn Gilbert NCSM service award, and the Teachers Teaching with Technology Leadership Award. Her research interests are statistics education, the use of technology in teaching mathematics and statistics, and professional development for teachers.

Dr. Amanda R Ellis is the vice chair of the Department of Biostatistics and director of graduate studies of the Master of Science in Biostatistics (MSBST) program. Dr. Ellis joined the college as an Assistant Professor in 2020. Her focus is on graduate education, along with course and curriculum development. She earned her undergraduate degree in Mathematics from the University of Kentucky. She also earned her M.S. and Ph.D. in statistics from the University of Kentucky. She previously taught at Eastern Kentucky University, where she focused on undergraduate and graduate education.

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Starting at:
27 Aug, 11:00 amAnchorage
27 Aug, 12:00 pmLos Angeles
27 Aug, 1:00 pmDenver
27 Aug, 2:00 pmChicago
27 Aug, 3:00 pmNew York
27 Aug, 2:00 pmBogota
27 Aug, 4:00 pmHalifax, Manaus
27 Aug, 4:00 pmBuenos Aires, Rio de Janeiro
27 Aug, 8:00 pmLondon, Lisbon
27 Aug, 9:00 pmParis, Rome, Lagos
27 Aug, 10:00 pmTallinn, Jerusalem, Ukraine, Harare
27 Aug, 10:00 pmIstanbul
27 Aug, 10:00 pmMoscow, Nairobi, Riyadh
27 Aug, 11:30 pmTehran
27 Aug, 11:30 pmKabul
28 Aug, 1:00 amDhaka
28 Aug, 3:00 amPerth, Beijing
28 Aug, 5:00 amBrisbane
28 Aug, 4:30 amAdelaide
28 Aug, 5:00 amSydney
28 Aug, 7:00 amAuckland

Designing positive first experiences with coding for introductory level statistics and data science students

23 October 2024; 21:00 UTC (see below for localized date/time)

Webinar duration: 90 minutes

Presenter(s): Anna Fergusson, The University of Auckland, New Zealand

Details to come.

Starting at:
23 Oct, 1:00 pmAnchorage
23 Oct, 2:00 pmLos Angeles
23 Oct, 3:00 pmDenver
23 Oct, 4:00 pmChicago
23 Oct, 5:00 pmNew York
23 Oct, 4:00 pmBogota
23 Oct, 6:00 pmHalifax, Manaus
23 Oct, 6:00 pmBuenos Aires, Rio de Janeiro
23 Oct, 10:00 pmLondon, Lisbon
23 Oct, 11:00 pmParis, Rome, Lagos
24 Oct, 12:00 amTallinn, Jerusalem, Ukraine, Harare
24 Oct, 12:00 amIstanbul
24 Oct, 12:00 amMoscow, Nairobi, Riyadh
24 Oct, 12:30 amTehran
24 Oct, 1:30 amKabul
24 Oct, 3:00 amDhaka
24 Oct, 5:00 amPerth, Beijing
24 Oct, 7:00 amBrisbane
24 Oct, 7:30 amAdelaide
24 Oct, 8:00 amSydney
24 Oct, 10:00 amAuckland

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