Prediction of Skill Retention and Retraining from Initial Training

Author:

Goldberg Joseph H.1,O'Rourke Sean A.1

Affiliation:

1. The Pennsylvania State University

Abstract

The goal of this research was to examine a method for predicting retention and retraining performance of a manual skill after controlled training. In an experiment, 40 men were trained to criterion performance on low- or high-workload tracking tasks, then retested and retrained after no-practice intervals of 1 to 6 wk. Retention and retraining performance times were modeled as a function of (1) average tracking completion time during initial training and (2) a power-model point-estimate of training completion times. The power model predicted retention and retraining times slightly better than the average times, but both models were significant (.64 < R2 <.78). Performance times were not related to duration of retention and were marginally related to training workload. Over-all, later performance was well predicted by earlier task performance, but retention was independent of the elapsed no-practice time period.

Publisher

SAGE Publications

Subject

Sensory Systems,Experimental and Cognitive Psychology

Reference24 articles.

1. Historical review and appraisal of research on the learning, retention, and transfer of human motor skills.

2. Akins F. R. (1979) Performance considerations in long-term space flight. (NASA Technical Report N81–18651), Washington, DC, NASA.

3. Long-term retention of perceptual-motor skills.

4. Factors in the retention and relearning of perceptual-motor skill.

5. Gardlin G. R., Sitterley T. E. (1972) Degradation of learned skills a review and annotated bibliography. Boeing Technical Report No. D180-15080.1, Seattle, WA, The Boeing Co.

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