Learning from errors versus explicit instruction in preparation for a test that counts

Author:

Metcalfe Janet1ORCID,Xu Judy1,Vuorre Matti2ORCID,Siegler Robert1,Wiliam Dylan3,Bjork Robert A.4

Affiliation:

1. Columbia University New York New York USA

2. Tilburg University Tilburg The Netherlands

3. University College London London UK

4. UCLA Los Angeles California USA

Abstract

AbstractBackgroundAlthough the generation of errors has been thought, traditionally, to impair learning, recent studies indicate that, under particular feedback conditions, the commission of errors may have a beneficial effect.AimsThis study investigates the teaching strategies that facilitate learning from errors.Materials and MethodsThis 2‐year study, involving two cohorts of ~88 students each, contrasted a learning‐from‐errors (LFE) with an explicit instruction (EI) teaching strategy in a multi‐session implementation directed at improving student performance on the high‐stakes New York State Algebra 1 Regents examination. In the LFE condition, instead of receiving instruction on 4 sessions, students took mini‐tests. Their errors were isolated to become the focus of 4 teacher‐guided feedback sessions. In the EI condition, teachers explicitly taught the mathematical material for all 8 sessions.ResultsTeacher time‐on in the LFE condition produced a higher rate of learning than did teacher time‐on in the EI condition. The learning benefit in the LFE condition was, however, inconsistent across teachers. Second‐by‐second analyses of classroom activities, directed at isolating learning‐relevant differences in teaching style revealed that a highly interactive mode of engaging the students in understanding their errors was more conducive to learning than was teaching directed at getting to the correct solution, either by lecturing about corrections or by interaction focused on corrections.ConclusionThese results indicate that engaging the students interactively to focus on errors, and the reasons for them, facilitates productive failure and learning from errors.

Funder

U.S. Department of Education

Publisher

Wiley

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