CAUSE is excited to announce the 2020 Electronic Conference on Teaching Statistics which will be held online on May 18th – May 22nd, 2020. The conference theme is "Engaging Everyone". The conference will include two keynote addresses by Roxy Peck from California Polytechnic State University and Hillary Parker from Stitch Fix. There will also be thirty-minute breakout sessions, online workshops, and virtual poster sessions.
Whether as instructors teaching introductory statistics/data science students or majors, AP statistics students, or pre-service teachers, we have something in common. We are all striving to engage students in the classroom. What engages the modern statistics/data science student? Engagement could come from many areas:
- Group learning such as small group learning or team based learning
- Problem based Learning or Process Oriented Guided Learning (POGIL)
- Ways to engage distance learners
- In class activities or labs
- Student Response Systems
- Using software to engage conceptual understanding
- Use of simulation based inference
- Use of real data in case studies or service learning
- Online interactive tutoring systems
- Other active learning strategies
Engaging Everyone also applies to engaging instructors to learn from each other and help to build the community of statistics educators seeking to improve the teaching and learning experience.
This conference strives to drive the conversation about methods of engaging today's student in understanding what data can tell us.
In addition to the online content, there will also be regional face to face meetings to encourage discussion in local statistics and data science education communities.
eCOTS 2020 Organizing Committee:
John Gabrosek, Grand Valley State University
Nicholas Horton, Amherst College
Megan Mocko (chair), University of Florida
Kari Lock Morgan, Penn State University
Dennis Pearl, Penn State University
Beverly L. Wood, Embry-Riddle Aeronautical University
eCOTS 2020 Poster Session Committee:
Jack Miller (poster session chair), University of Michigan