Retrieval Practice Improves Exam Performance as a Function of Review Question Number and Format

Author:

Pitt Jason,Huebner Bethany

Abstract

Introduction. Although retrieval practice is a well-established method of improving learning, it is unclear whether review question format matters or how many review questions are needed to maximize the effects of retrieval practice. Review of Literature. Inconsistent findings are reported regarding review question format, and no studies were conducted in physical therapy education programs. A positive relationship is reported between review question number and exam performance, but no studies estimate the number of review questions needed to maximize retention of specific learning objectives. Subjects. Eighty-eight second-year Doctor of Physical Therapy students (baseline cohort = 42 students, intervention cohort = 46 students). Methods. Exam questions were randomly assigned into different review categories. Some exam questions received no review, whereas other exam questions were reviewed with open-ended review questions or varying numbers of multiple-choice review questions. Performance on 160 multiple-choice exam questions was compared between review question categories using mixed-effects logistic regression models. Results. Both open-ended and multiple-choice review questions significantly improved exam question performance. Performance on exam questions improved most when more than one multiple-choice review question was provided. After controlling for exam question difficulty, multiple-choice review questions were superior to open-ended review questions. Discussion and Conclusion. On multiple-choice exams, multiple-choice review questions are at least as effective as open-ended review questions. Given their ease of implementation, multiple-choice review questions are an efficient means to improve multiple-choice exam question performance.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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