Conference Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 27 - SPEED: Statistical Learning and Data Challenge Part 1
Type: Contributed
Date/Time: Sunday, August 7, 2022 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #322124
Title: Diversity in Project-Based Learning Strategy in Undergraduate Statistics Education
Author(s): Shurong Fang* and Lisa Dierker
Companies: John Carroll University and Wesleyan University
Keywords: Diversity; Project-Based Learning; Under-representative; Curriculum; Undergraduate Statistics Education

Diversity has various meanings to different individuals based on their respective background. As our data-driven and tech-saturated world has been expended to our daily life, it is necessary and important to accommodate our current curriculum for diverse students. A project-based learning (PBL) strategy has been adopted in Undergraduate Statistics Education curriculum. We conduct an exploratory study on diversity in PBL for undergraduate statistics education through the pre- and post-surveys collected from more than 70 educational settings across the country from 2018 to 2021. We compare student’s learning experience, attitudes, and the interest in future experiences with data based on their racial background and first generation status. Our goal is to examine the efficiency of the PBL for diverse students, especially for under-representative students, in undergraduate statistics education.

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

Back to the full JSM 2022 program