Assessing collaboration from real computer supported collaborative learning sessions

J. Rojano-Cáceres, Fernando Ramos-Quintana, E. Benítez-Guerrero
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引用次数: 1

Abstract

Considering that collaboration is one of the main goals to be achieved in Computer Supported Collaborative Learning (CSCL) systems, one of the most important and complex task in these systems is to assess the collaboration among participants. In the present work, collaborations take place by interacting through dialogs that contain actions performed by participants organized by dyads. Such actions are transformed into graphical representations called Networks of Concepts (NoC), which synthesizes the knowledge being learned. Here we propose how to measure quantitative collaborations. Quantitative collaborations are measured through the analysis of evidences derived from actions taking place within collaborative learning sessions.1
评估来自真实计算机支持的协作学习会议的协作
协作是计算机支持协作学习(CSCL)系统要实现的主要目标之一,评估参与者之间的协作是CSCL系统中最重要和最复杂的任务之一。在目前的工作中,协作是通过对话进行的,对话包含了由两个人组织的参与者执行的动作。这些行为被转换成称为概念网络(NoC)的图形表示形式,它综合了所学的知识。在这里,我们提出如何衡量定量合作。定量合作是通过分析在协作学习过程中发生的行动所产生的证据来衡量的
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