Abstract Number:
3722
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Speed
Participants:
Erin Howard (1)
Institutions:
(1) Oregon State University, N/A
First Author:
Presenting Author:
Abstract Text:
I'll discuss the innovative integration of Shiny apps as powerful tools to enhance student engagement and understanding in introductory statistics courses. Leveraging real-time data from in-class student polls, I demonstrate how intentionally designed simulations presented via Shiny apps can be utilized to dynamically display, manipulate, and simulate sampling distributions using data that students have a personal connection to. By establishing a direct connection between students and the material, this approach creates an active and immersive learning experience. The session will include a live demonstration of a Shiny app used in Introduction to Statistics for Engineers at Oregon State, showcasing its functionalities and impact on student engagement. I'll share insights gained from developing and teaching with the app, providing valuable lessons learned and practical considerations for educators looking to implement similar techniques. I'll conclude by proposing additional introductory statistics topics that could benefit from this innovative teaching approach, encouraging further exploration and adoption of interactive and immersive tools in statistical education.
Keywords:
Active Learning Strategy|Higher education|Statistical educaiton| | |
Sponsors:
Section on Statistics and Data Science Education
Tracks:
Miscellaneous
Can this be considered for alternate subtype?
Yes
Are you interested in volunteering to serve as a session chair?
No
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.
I understand