概念化
构造(python库)
心理学
度量(数据仓库)
任务(项目管理)
系统回顾
潜变量
知识管理
计算机科学
梅德林
数据挖掘
管理
人工智能
政治学
法学
经济
程序设计语言
作者
Verena Schürmann,Nicki Marquardt,Daniel Bodemer
标识
DOI:10.1177/10464964231200191
摘要
Collaboration is a construct comprising diverse definitions and frameworks. Additionally, being a latent variable and because of its complexity and interactive nature, collaboration is difficult to measure. Therefore, this systematic literature review was guided by two fundamental questions: what to measure and how to measure. Through the review and synthesis of 28 carefully selected studies we derived an integrative framework displaying indicators for peer collaboration in higher education and beyond. Moreover, the results give insights into measurement approaches of collaboration comprising information on data collection and analysis as well as contextual factors (e.g., task type, time).
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