Reducing Barriers to Teaching Novice Learners How to Code

Christopher Malone Chair
Winona State University
Mine Cetinkaya-Rundel Panelist
Duke University + Posit
Todd Iverson Panelist
Karen Word Panelist
Kelly Bodwin Panelist
California Polytechnic State University
Allison Theobold Organizer
Cal Poly
Monday, Aug 5: 10:30 AM - 12:20 PM
Invited Panel Session 
Oregon Convention Center 
Room: CC-G131 
Writing code is an essential component to learning and doing statistics and data science. Yet, we hear many educators voice their hesitancy and frustrations teaching coding to novice learners in introductory statistics and data science courses. The panelists in this session will share pedagogical techniques (and philosophies) they have found the most successful when teaching coding to novice learners in a variety of settings, from introductory statistics and data science courses to workshops for a diverse community of learners. Statistics and data science educators Mine Cetinkaya-Rundel, Todd Iverson, and Kelly Bodwin will discuss their approaches to teaching coding in introductory courses. Mine energizes students on Day 1 by "letting them eat cake," whereas Todd takes a "writing first coding second" approach, and Kelly utilizes gameful activities to heighten students' interest and engagement while learning. Karen Word, the director of instructor training for The Carpentries, will offer perspectives on coaching individuals with potentially little teaching experience to facilitate workshops for a diverse group of novice learners.



Main Sponsor

Section on Statistical Computing

Co Sponsors

Justice Equity Diversity and Inclusion Outreach Group
Section on Statistics and Data Science Education