A Systematic Approach for Learner Group Composition Utilizing U-Learning Portfolio
A Systematic Approach for Learner Group Composition Utilizing U-Learning Portfolio
复制标题
利用 U-Learning 组合组成学习者小组的系统方法
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Ting
中科院分区：
文献类型：
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作者：
Yueh;Ting
上下文感知泛在学习环境嵌入了各种泛在计算技术，允许应用程序获取每个u学习者的不同学习行为。通过u-Learning系统收集和记录的这些行为可以非常有用地加强对学习者特征的分析，这可以被用来区分和分组学习者，用于进一步的教学策略设计，例如，无处不在的协作学习策略。这就需要一种系统的方法来分析学习者的行为，并利用学习者的特点来进行群体构成。本文试图提出一种有效的学习者分组方案，该方案包括从uPortfolio到我们提出的Portfolio Grid的转换、学习者相似度矩阵的建立和组的组成。本文的目的是在对已收集的u-Learning档案袋进行分析的基础上，提出一种系统的学习者分组方式。分析结果暗示了学习者各种行为的相似性，将有助于获得预期的分组结果，用于进一步的学习活动，如泛在协作学习和团队合作。
Context-aware ubiquitous learning environment, which embeds various ubiquitous computing technologies, allows applications to acquire diverse learning behaviors of each u-learner. Those behaviors that were collected and recorded by the u-learning system can be quite useful to enhance the analysis of learner characteristics which can be utilized to distinguish and group learners for further instruction strategy design, for instance, a ubiquitous collaborative learning strategy. This needs a systematical method to analyze learner behaviors and utilize learner characteristics for the group composition. This paper attempts to propose an effective learner grouping scheme which contains processes of the transformation from uportfolio to our proposed Portfolio Grid, the creation of learner similarity matrix, and the group composition. The aim of this paper is to propose a systematical manner of dividing learners into groups based on the analysis of previously collected u-learning portfolios. The analysis outcome, which has implied the similarity of various behaviors of learners, will facilitate obtaining an expected grouping result for the use of further learning activities such as ubiquitous collaborative learning and team working.