Using Team-Based Learning to Teach Data Science
Presented by: Eric Vance (University of Colorado Boulder)
This month, we highlight the article Using Team-Based Learning to Teach Data
Science<https://www.tandfonline.com/doi/full/10.1080/26939169.2021.19715… by Eric
Vance in our Journal of Statistics and Data Science Education webinar series. Team-Based
Learning (TBL) is a pedagogical strategy that can help educators teach data science better
by flipping the classroom to employ small-group collaborative learning to actively engage
students in doing data science. A consequence of this teaching method is helping students
achieve the workforce-relevant data science learning goals of effective communication,
teamwork, and collaboration. In this webinar, he will describe the essential elements of
TBL and answer questions about this appealing pedagogical strategy.
Eric A. Vance is an Associate Professor of Applied Mathematics, the Director of the
Laboratory for Interdisciplinary Statistical Analysis (LISA) at the University of Colorado
Boulder, and the Global Director of the LISA 2020 Network, which comprises 35 statistics
and data science collaboration laboratories in 10 developing countries. He is a Fellow of
the American Statistical Association (ASA) and winner of the 2020 ASA Jackie Dietz Award
for the best paper in the (then) Journal of Statistics Education for "The ASCCR Frame
for Learning Essential Collaboration
Skills<https://www.tandfonline.com/doi/full/10.1080/10691898.2019.168737…
The webinar will take place on Tuesday, January 25th from 4:00-4:30pm EST.
Registration is required but is free:
https://www.causeweb.org/cause/webinar/jsdse/2022-01
We hope that you can join what promises to be an informative discussion about teaching
data science.
Warmly,
Leigh Johnson (Capital University)
Moderator, CAUSE/JSDSE Webinar Series