Studying the networked nature of social and cognitive aspects of learner interactions is the key to understanding how successful collaborative learning occurs in asynchronous online discussion forums (AODFs). Guided by network science and multiplex network analysis, this study compared the differences of network structure and properties between the social (learners as nodes and commenting on the others' contributions as edges) and cognitive (learners as nodes and explicitly quoting the others' contributions as edges) networks within an AODF. It additionally examined the differences of individual measures between these two monolayer networks and their integrated two multiplex networks. The two multiplex networks were respectively framed in superimposed and unfold approaches. Moreover, correlation analysis was conducted to examine the relationships between individual measures and learning performance across the four networks. Results showed key differences at the network and individual levels between the social and cognitive networks. The two networks had different compositions of participants, and students in the cognitive network occupied more central positions in general. Besides, certain individual measures in the multiplex networks were relatively higher and more related to learning performance than those in the monolayer networks. These results indicate that integrating multi-aspect information of collaboration may be more conducive to unveiling learners' interaction patterns in asynchronous online discussions.

中文翻译：

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异步在线讨论中学习者的交互模式：社交和认知交互的整合

研究学习者互动的社交和认知方面的网络性质是了解协作学习如何在异步在线讨论论坛 (AODF) 中成功发生的关键。本研究以网络科学和多元网络分析为指导，比较了社会（学习者作为节点，评论他人的贡献作为边）和认知（学习者作为节点，明确引用他人的贡献）之间的网络结构和属性的差异。边）AODF 中的网络。它还检查了这两个单层网络及其集成的两个多路网络之间的单独测量的差异。这两个多路复用网络分别以叠加和展开的方法构建。而且，结果显示了社交网络和认知网络在网络和个人层面的关键差异。两个网络的参与者构成不同，认知网络中的学生总体上占据更多的中心位置。此外，与单层网络相比，多路网络中的某些个体测量值相对较高且与学习性能的相关性更高。这些结果表明，整合协作的多方面信息可能更有利于揭示学习者在异步在线讨论中的交互模式。结果显示了社交网络和认知网络在网络和个人层面的关键差异。两个网络的参与者构成不同，认知网络中的学生总体上占据更多的中心位置。此外，与单层网络相比，多路网络中的某些个体测量值相对较高且与学习性能的相关性更高。这些结果表明，整合协作的多方面信息可能更有利于揭示学习者在异步在线讨论中的交互模式。与单层网络相比，多路网络中的某些个体测量值相对较高且与学习性能更相关。这些结果表明，整合协作的多方面信息可能更有利于揭示学习者在异步在线讨论中的交互模式。与单层网络相比，多路网络中的某些个体测量值相对较高且与学习性能更相关。这些结果表明，整合协作的多方面信息可能更有利于揭示学习者在异步在线讨论中的交互模式。