随着时间的推移,队友在如何评估他们的团队经验方面趋于稳定

Rebecca L. Matz, A. Lee, Robin R. Fowler, Caitlin Hayward
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引用次数: 0

摘要

教师,甚至学生自己,都很难实时意识到学生团队中发生的不公平行为。在这里,我们利用数字教学工具的数据,探索了一种潜在的衡量不公平团队合作的方法,该工具旨在揭示和破坏这种团队行为。在一门大型本科商业课程中,学生在整个学期中定期完成七项关于团队健康的调查(称为团队检查),提供有关团队动态、贡献和流程的信息。学生从一个小组检查到另一个小组检查的分数变化与他们的小组的中位数变化的方式被用来确定具有异常学生分数的小组的比例。结果表明,对于每个团队规模和团队检查项目,学期结束时具有异常值的团队比例比学期开始时要小,这表明团队成员如何评估他们的团队经验趋于稳定。除了两个案例外,在所有案例中,边远地区的学生都不太可能根据性别或种族/民族认同历史上被边缘化的群体。因此,我们没有在这一特定背景下广泛地识别团队不公平,但该方法为未来研究不公平团队行为提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Teammates Stabilize over Time in How They Evaluate Their Team Experiences
It is difficult for instructors, and even students themselves, to become aware in real-time of inequitable behaviors occurring on student teams. Here, we explored a potential measure for inequitable teamwork drawing on data from a digital pedagogical tool designed to surface and disrupt such team behaviors. Students in a large, undergraduate business course completed seven surveys about team health (called team checks) at regular intervals throughout the term, providing information about team dynamics, contributions, and processes. The ways in which changes in students’ scores from team check to team check compared to the median changes for their team were used to identify the proportions of teams with outlier student scores. The results show that for every team size and team check item, the proportion of teams with outliers at the end of the term was smaller than at the beginning of the semester, indicating stabilization in how teammates evaluated their team experiences. In all but two cases, outlying students were not disproportionately likely to identify with historically marginalized groups based on gender or race/ethnicity. Thus, we did not broadly identify teamwork inequities in this specific context, but the method provides a basis for future studies about inequitable team behavior.
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