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 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."
The webinar will take place on Tuesday, January 25th from 4:00-4:30pm EST.
Registration is required but is free:
We hope that you can join what promises to be an informative discussion about teaching data science.
Leigh Johnson (Capital University)
Moderator, CAUSE/JSDSE Webinar Series