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Activity Number: 170
Type: Contributed
Date/Time: Monday, August 1, 2016 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Education
Abstract #321316 View Presentation
Title: Getting Past the Gatekeeper: Does Randomization-Based Curriculum in Introductory Statistics Promote Student Success?
Author(s): Laura Hildreth* and Jim Robison-Cox and Jade Schmidt
Companies: Montana State University and Montana State University and Montana State University
Keywords: introductory statistics ; randomization-based curriculum ; generalized linear mixed models

Over the past decade, randomization-based curriculum has gained prominence over the traditional, algebra-based curriculum in teaching introductory statistics. The purpose of this study is to compare pass rates of introductory statistics students taught using the traditional curriculum or one of several variants of the randomization-based curriculum. We use data collected from over 2500 students enrolled in a large multi-section introductory statistics course at a land grant university collected over five semesters, fall 2013 through fall 2015. We use generalized linear mixed models to compare pass rates across curricula. Initial results indicate improved pass rates for students under the simulation-based and randomization-based curricula compared to the traditional curriculum.

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

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