Toward the Validation of a Novel Measure of Individuals’ Influence During Team Collaborations

Julie L. Harrison, Jamie C. Gorman, Jason G. Reitman, Sidney D’Mello
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Abstract

Collaborative problem solving (CPS) is an important skill in the modern workforce, and due to its interactive nature, is challenging to assess. The present study builds on work in team sciences to provide initial validation for a metric that quantifies CPS influence—the extent to which each individual contributes toward the team’s CPS processes—using average mutual information (AMI). The measure is investigated in teams collaborating in a computer programming task, where one teammate was assigned to a controller role (i.e., the only person who engaged with the task interface directly). Results suggest the controller had more influence over the team’s CPS processes than the other participants in the triad, providing initial validation for the influence metric. Future work will investigate the measure in classrooms and multiple modalities, and extend the metric in real-time to understand how influence fluctuates over the course of collaboration.
团队合作中个人影响的新测量方法之验证
协作解决问题(CPS)是现代劳动力中的一项重要技能,由于其交互性,对其进行评估具有挑战性。目前的研究建立在团队科学工作的基础上,使用平均相互信息(AMI)为量化CPS影响的度量标准提供初步验证,即每个人对团队CPS过程的贡献程度。在计算机编程任务中协作的团队中调查该度量,其中一个团队被分配到控制器角色(即,唯一直接参与任务接口的人)。结果表明,控制者对团队CPS流程的影响比三位一体中的其他参与者更大,这为影响度量提供了初步验证。未来的工作将在课堂和多种模式下调查这一衡量标准,并实时扩展这一衡量标准,以了解在合作过程中影响是如何波动的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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