Teacher-pupil-parent triads: A typology of interpersonal interaction in the context of learning a musical instrument

Author:

Creech Andrea1

Affiliation:

1. Institute of Education, University of London

Abstract

The main objective of this research was to create a typology of teacher-pupil-parent interpersonal interaction in the context of learning a musical instrument. Three hundred and thirty-seven teacher-pupil-parent triads participated in the research, completing a survey measuring “control” and “responsiveness”. Factor analysis revealed a number of underlying interpersonal dimensions. A cluster analysis was carried out, using control and responsiveness factors as predictors of cluster membership. A model of six distinct interaction types was revealed and validated with in-depth interviews with teacher-pupil-parent triads representing each cluster. Clusters 1, 2 and 3 were each conceptualised as a primary dyad plus a third party, while Cluster 4 was represented as two primary dyads connected by one common member. Cluster 5 was characterized by very little communication between any two of the three individuals, while Cluster 6 was characterized by reciprocity amongst all three participants. This model of interaction types provides a framework within which teachers may interpret their own teacher-parent and teacher-pupil experience, potentially empowering teachers to alter their interaction patterns when migration from one cluster type to another is deemed to be appropriate in terms of enhancing learning or teaching outcomes.

Publisher

SAGE Publications

Subject

Music,Experimental and Cognitive Psychology

Cited by 17 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

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