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Collaborative group engagement in a computer-supported inquiry learning environment

机译:在计算机支持的查询学习环境中的协作小组参与

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Computer-supported collaborative learning environments provide opportunities for students to collaborate in inquiry-based practices to solve authentic problems, using technological tools as a resource. However, we have limited understanding of the quality of engagement fostered in these contexts, in part due to the narrowness of engagement measures. To help judge the quality of engagement, we extend existing engagement frameworks, which have studied this construct as a stable and decontextualized individual difference. We conceptualize engagement as multi-faceted (including behavioral, social, cognitive and conceptual-to-consequential forms), dynamic, contextualized and collective. Using our newly developed observational measure, we examine the variation of engagement quality for ten groups. Subsequently, we differentiate low and high quality collaborative engagement through a close qualitative analysis of two groups. Here, we explore the interrelationships among engagement facets and how these relations unfolded over the course of group activity during a lesson. Our results suggest that the quality of behavioral and social engagement differentiated groups demonstrating low quality engagement, but cognitive and conceptual-to-consequential forms are required for explaining high quality engagement. Examination of interrelations indicate that behavioral and social engagement fostered high quality cognitive engagement, which then facilitated consequential engagement. Here, engagement is evidenced as highly interrelated and mutually influencing interactions among all four engagement facets. These findings indicate the benefits of studying engagement as a multi-faceted phenomenon and extending existing conceptions to include consequential engagement, with implications for designing technologies that scaffold high quality cognitive and conceptual-to-consequential engagement in a computer-supported collaborative learning environment.
机译:计算机支持的协作学习环境为学生提供了机会,可以利用技术工具作为资源,在基于询问的实践中进行协作以解决真实的问题。但是,我们对在这种情况下培养的参与质量的了解有限,部分原因是参与措施的范围狭窄。为了帮助判断参与的质量,我们扩展了现有的参与框架,这些框架已将这种结构研究为稳定且无背景的个体差异。我们将参与概念化为多方面的(包括行为,社会,认知和从概念到结果的形式),动态的,背景化的和集体化的。使用我们最新开发的观测方法,我们检查了十组的参与质量的变化。随后,我们通过对两组的密切定性分析来区分低质量和高质量的协作参与。在这里,我们探讨了参与方面之间的相互关系,以及在一堂课中小组活动过程中这些关系如何发展。我们的研究结果表明,行为和社会参与的质量差异表明了低质量的参与,但是需要有认知和概念到结果的形式来解释高质量的参与。相互关系的检验表明,行为和社交参与促进了高质量的认知参与,进而促进了结果性参与。在这里,参与度被证明是所有四个参与度之间高度相互关联且相互影响的互动。这些发现表明,将参与研究作为一个多方面的现象进行研究,并将现有概念扩展到包括结果参与,对于设计在计算机支持的协作学习环境中支持高质量认知和概念对结果参与的技术具有启示意义。

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