Abstract Number:
1039
Submission Type:
Invited Panel Session
Participants:
Allison Theobold (1), Mine Cetinkaya-Rundel (3), Todd Iverson (4), Karen Word (5), Kelly Bodwin (6), Christopher Malone (2)
Institutions:
(1) Cal Poly, N/A, (2) Winona State University, N/A, (3) Duke University + Posit, N/A, (4) N/A, N/A, (5) The Carpentries, United States, (6) California Polytechnic State University, N/A
Chair:
Panelist(s):
Session Organizer:
Session Description:
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.
Sponsors:
Justice Equity Diversity and Inclusion Outreach Group 3
Section on Statistical Computing 1
Section on Statistics and Data Science Education 2
Theme:
Statistics and Data Science: Informing Policy and Countering Misinformation
No
Applied
Yes
Estimated Audience Size
Small (<80)
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand and have communicated to my proposed speakers that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is nonrefundable.
I understand