Tuesday, April 18th, 20234:00 pm – 4:30 pm ET
Presented by: Ella Burnham (Gustavus Adolphus College), Erin Blankenship (University of Nebraska-Lincoln, and Sydney Brown (University of Nebraska-Lincoln)
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.