Online Program Home
My Program

Abstract Details

Activity Number: 471 - Innovative and Effective Teaching for Large-Enrollment Statistics and Data Science Courses
Type: Topic Contributed
Date/Time: Wednesday, August 1, 2018 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Education
Abstract #328881
Title: Large-Scale Interactives for Large-Enrolment Courses
Author(s): Anna Fergusson*
Companies: The University of Auckland
Keywords: active learning; statistics education; data science education; interactivity

Practical "hands-on" activities have been advocated by statistics educators as necessary precursors to technology-enhanced learning. For example, a typical learning trajectory for simulation-based inference could involve students using physical objects such as coins, cards or spinners first before moving to the use of technology to carry out simulations. In small class settings, these interactive practical activities enable rich learning conversations between the instructor and their students. However, when transforming "small-scale" activities to the large-enrolment course, additional strategies are needed to continue learning conversations between the instructor and up to 500 students. Here we present examples of large-scale interactives developed for our large introductory statistics and data science course and describe the underlying framework used to design such interactives.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2018 program