高绩效的团队:集体智能是答案吗?
Luke I Rowe1, John Hattie2, John Munro1
1National School of Education, Australian Catholic University, East Melbourne, Victoria, Australia.
PloS one
|August 12, 2024
概括
小组中的集体智能可能更好地用双因素模型来解释,而不是单一的一般因素. 这一发现影响了我们如何理解和改善小组解决问题和学术表现.
科学领域:
- 心理学 心理学 心理学
- 社会科学 社会科学 社会科学
- 认知科学 认知科学
背景情况:
- 集体智能 (gCI) 的一般因素概念在小组研究中发挥了重要作用.
- 之前的模型提出了一个统治群体智能的单一因素.
研究的目的:
- 在小组中检查一般集体智力因素的有效性.
- 评估集体智力的因素结构.
- 评估其对小组解决问题和学术成果的预测效用.
主要方法:
- 在85名大学生中采用了相关研究设计.
- 参与者完成了复杂的认知任务,测量个人和团体智力.
- 在个人,小组和预测阶段收集数据.
主要成果:
- 结果支持集体智能的双因素模型,与结晶和流体智能的理论保持一致.
- 这种双因素模型解释了小组表现的显著差异,挑战了单因素假设.
- 个人和集体智能测量都显示出中度,与组分配得分有显著的相关性 (rs = .40到 .47,p < .05).
结论:
- 小组中的集体智能可能受到多个维度的影响,而不是单一的一般因素.
- 这些维度似乎反映了个体智力的既定理论.
- 这种细微的观点对提高教育和组织环境中的群体表现产生了影响.
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