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Applying Adaptive Swarm Intelligence Technology With Structuration In Web-based Collaborative Learning

机译:基于结构的自适应群智能技术在基于Web的协同学习中的应用

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One of the key challenges in the promotion of web-based learning is the development of effective collaborative learning environments. We posit that the structuration process strongly influences the effectiveness of technology used in web-based collaborative learning activities. In this paper, we propose an ant swarm collaborative learning (ASCL) environment based on a swarm intelligence system (SIS) that structures opportunities for effective collaboration and learning in a dynamic way. The results of our experiments indicate that: (1) the self-organizing behavior of SIS is positively associated with system appropriation; (2) the multi-agent-based mechanism of SIS is positively associated with system appropriation; (3) the cohesive capability of SIS is positively associated with system appropriation; and (4) the learner's tendency toward system appropriation is positively associated with learning effectiveness. Our findings also show that learners in an ASCL environment outperform their counterparts in a general web-based learning (GWL) environment. We conclude that different types of technological support can influence the achievement in a web-based learning environment.
机译:促进基于网络的学习的主要挑战之一是开发有效的协作学习环境。我们认为,结构化过程强烈影响基于网络的协作学习活动中使用的技术的有效性。在本文中,我们提出了一种基于群体智能系统(SIS)的蚁群协作学习(ASCL)环境,该环境以动态方式构建有效协作和学习的机会。我们的实验结果表明:(1)SIS的自组织行为与系统专有性正相关; (2)SIS的基于多主体的机制与系统专用性正相关; (3)SIS的凝聚力与系统专有性正相关; (4)学习者倾向于系统使用的倾向与学习效果呈正相关。我们的发现还表明,在一般的基于Web的学习(GWL)环境中,ASCL环境中的学习者的表现要优于同类学习者。我们得出的结论是,不同类型的技术支持可以影响基于Web的学习环境中的成就。

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