Webinar: Developing students' quantitative reasoning skills using large authentic datasets and Project EDDIE modules
This event occurred on Thursday, February 7, 2019
Webinar Presentation Slides EDDIE Webinar Feb 7 Slides (Acrobat (PDF) 2.3MB Feb7 19)
Catherine O'Reilly, Illinois State University
Rebekka Darner, Illinois State University
Rebekka will describe how students make connections as they learn new material and why working with large authentic datasets can play an important role in addressing misconceptions. Catherine will describe how EDDIE modules are designed to help students improve quantitative reasoning using large datasets. They will both provide further insight into student and instructor experiences using these large-dataset modules.
- Recognize how students' misconceptions persist despite direct instruction
- Understand the role of quantitative reasoning in science
- Appreciate how working with large datasets can improve quantitative reasoning as well as force students to address their misconceptions
Format - Online web presentation via Zoom meeting software with questions and discussion. Go to the webinar technology page for information on using Zoom. Detailed instructions for joining the webinar will be emailed to registered participants one day prior to the webinar.
O'Reilly, C.M., Gougis, R.D., Klug, J.L., Carey, C.C., Richardson, D.C., Bader, N.E., Soule, D.C., Castendyk, D., Meixner T., Stromberg, J., Weathers, K.C., and W. Hunter. 2017. Using large data sets for open-ended inquiry in undergraduate science classrooms. Bioscience 67:12:1052-1061. doi.org/10.1093/biosci/bix118