6 Apr
2023
6 Apr
'23
11:15 a.m.
Designing a Large, Online Simulation-Based Introductory Statistics Course
Tuesday, April 18th, 2023 4:00 pm – 4:30 pm EDT
Presented by: Ella Burnham (Gustavus Adolphus College), Erin Blankenship (University of
Nebraska-Lincoln, and Sydney Brown (University of Nebraska-Lincoln)
Abstract: This month, in the CAUSE (Consortium for the Advancement of Undergraduate
Statistics Education) / JSDSE (Journal of Statistics and Data Science Education) webinar
series, we highlight the article, Designing a Large, Online Simulation-Based Introductory
Statistics Course. The authors designed an asynchronous undergraduate introductory
statistics course that focuses on simulation-based inference at the University of
Nebraska-Lincoln. In the webinar presentation, the authors plan to describe the process
they used to design the course, as well as the structure of the course. They will also
discuss feedback and comments they received from students on the course evaluations and
will reflect on the course after teaching it for the past three years. Their goal is to
provide useful tips and ideas for instructors who have developed or are developing their
own asynchronous introductory course. And while they emphasized simulation-based inference
in their own course, they believe that many of the design features of this course may be
useful for those using a traditional approach to inference in their introductory courses.
Article Link: https://www.tandfonline.com/doi/full/10.1080/26939169.2022.2087810
The webinar is free but pre-registration is required. Please sign up at:
https://www.causeweb.org/cause/webinar/jsdse/2023-04
Please join us!
Dr. Leigh V. Johnson
Associate Professor | Capital University
Department Chair, Mathematics, Computer Science and Physics
Stegemoeller Endowed Chair in Computational Sciences
Chair, College Faculty
JSDSE Webinar Coordinator
Author Headshots:
Erin Blankenship
[Erin Blankenship Headshot.jpg]
Ella Burnham
[Professional Photo.jpg]
Sydney Brown
[190919_Brown_201RT810.jpg]
