Assessing student success in a Peer Assisted Learning program using propensity score matching

Author:

Shanbrom Corey,Norris Michelle,Esgana Caitlin,Krauel Matthew,Pigno Vincent,Lundmark Jennifer

Abstract

AbstractThe Peer Assisted Learning program at Sacramento State University (PAL) was established in 2012 with one section supporting introductory chemistry. It now serves 17 gatekeeper courses in Biology, Chemistry, Mathematics, Physics, and Statistics, enrolling approximately 1,400 students annually. Adapting the Peer-Led Team Learning model, PAL Facilitators do not teach, tutor, or even confirm answers; they do ask scaffolding questions, provide encouragement, and ensure that all group members participate in problem-solving. Here we assess the efficacy of the program in terms of student success in the parent course. As PAL is an opt-in program, we employ propensity score matching techniques to account for confounding factors. Our analysis of 11 classes shows that PAL provides an average course GPA bump ranging from .23 to .71 grade points (mean .42). Compared to the non-PAL baseline course GPA, this amounts to an increase of 9% to 51% (mean 23%). We consider data from over 25,000 students, and our propensity score analysis uses over 10,000 students (4,519 PAL, 5,814 non-PAL) for whom appropriate matches could be found.

Publisher

Cold Spring Harbor Laboratory

Reference25 articles.

1. Understanding the Peer Assistance Learning model: Student study groups in challenging college courses;International Journal of Higher Education,2014

2. Arendale, D. (2019). Postsecondary peer cooperative learning programs: Annotated bibliography 2019.

3. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

4. Variable Selection for Propensity Score Models

5. Assessing the impact of a multi-disciplinary peer-led-team learning program on undergraduate STEM education;Journal of University Teaching & Learning Practice,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3