Observational Learning of Fly Casting Using Traditional and Virtual Modeling with and without Authority Figure

Author:

Kernodle Michael W.1,McKethan Robert N.1,Rabinowitz Erik1

Affiliation:

1. Appalachian State University

Abstract

Traditional and virtual modeling were compared during learning of a multiple degree-of-freedom skill (fly casting) to assess the effect of the presence or absence of an authority figure on observational learning via virtual modeling. Participants were randomly assigned to one of four groups: Virtual Modeling with an authority figure present (VM-A) ( n = 16), Virtual Modeling without an authority figure (VM-NA) ( n = 16), Traditional Instruction ( n = 17), and Control ( n = 19). Results showed significant between-group differences on Form and Skill Acquisition scores. Except for one instance, all three learning procedures resulted in significant learning of fly casting. Virtual modeling with or without an authority figure present was as effective as traditional instruction; however, learning without an authority figure was less effective with regard to Accuracy scores.

Publisher

SAGE Publications

Subject

Sensory Systems,Experimental and Cognitive Psychology

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Qualitative Examination of Online Practices During the COVID-19 Pandemic and Observational Preferences Within Physical Education;Journal of Teaching in Physical Education;2023

2. Perceptions of Supervisors and Performance: A Thematic Analysis;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2017-09

3. Looking to Learn: The Effects of Visual Guidance on Observational Learning of the Golf Swing;PLOS ONE;2016-05-25

4. Social norms and cognitive performance;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2015-09

5. Live vs. video presentation techniques in the observational learning of motor skills;Trends in Neuroscience and Education;2013-03

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