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Dynamic Group Formation based on a Natural Phenomenon

机译:基于自然现象的动态群形成

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This paper presents a new approach of learners grouping in collaborative learning systems. This grouping process is based on traces left by learners. The goal is the circular dynamic grouping to achieve collaborative projects. The proposed approach consists of two main algorithms: (1) the circular grouping algorithm and (2) the dynamic grouping algorithm (used to update groups). The circular grouping is a novel algorithm to group learners based on their learning and collaborative traces. So, the aim is to form heterogeneous groups based on their profiles. The dynamic grouping algorithm is based on the behavior of penguins when they are moving in the winter season to secure their lives. The new proposed approach used the same behavior of penguins' colony. The proposed approach was applied on a collaborative learning system called LETline 2.0. The developed system was experimented at an Algerian university. After the experiment, the authors observed that their system groups automatically the learners into homogeneous groups and improves their cognitive profiles.
机译:本文提出了一种在协作学习系统中将学习者分组的新方法。该分组过程基于学习者留下的痕迹。目标是实现合作项目的循环动态分组。所提出的方法包括两个主要算法:(1)循环分组算法和(2)动态分组算法(用于更新组)。循环分组是一种基于学习者和协作轨迹对学习者进行分组的新颖算法。因此,目的是根据它们的配置文件形成异类。动态分组算法基于企鹅在冬季移动时的行为以保护其生命。提出的新方法使用了企鹅殖民地的相同行为。所提出的方法被应用于名为LETline 2.0的协作学习系统。开发的系统在阿尔及利亚的大学进行了实验。实验后,作者观察到他们的系统组将学习者自动分为同质组,并改善了他们的认知能力。

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