This paper is from Session 4H: Statistical reasoning and teaching and learning processes
which comes under Topic 4: Improving teaching and capacity in statistics education
Paper 4H2 (Friday 13th, 14:00-15:30)
Comparing the HyFlex (Hybrid-Flexible) Model of Course Delivery in an Introductory Statistics Course and a Probability and Statistics Course for Engineers and Scientists
Presenter
- Jackie Bryce Miller (University of Michigan, United States)
Co-author
- Melinda Baham (Chandler-Gilbert Community College, United States)
Abstract
The HyFlex (hybrid-flexible) model lets students choose how they attend lecture (in person or remotely) each day based on personal decisions and experiences. Prior research at The Ohio State University (OSU) found important student gains in affective ways. Research on the HyFlex model for Stats 250 at University of Michigan (UM) showed similar results, although the remote option was not used as much as it was at OSU. HyFlex moved to UM’s Stats 412, a calculus-based probability and statistics course, in Fall 2017 and was adapted for Winter 2018. Experiences in adoption of HyFlex in the two different types of courses will be compared. Tips and suggestions for adopting HyFlex will be discussed, as will student outcomes, which were mostly affective in nature.