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Community tracking in a cMOOC and nomadic learner behavior identification on a connectivist rhizomatic learning network

机译:在cmOOC中的社区跟踪和在连接主义的根茎学习网络中的游牧学习者行为识别

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摘要

This article contributes to the literature on connectivism, connectivist MOOCs (cMOOCs) and rhizomatic learning by examining participant interactions, community formation and nomadic learner behavior in a particular cMOOC, #rhizo15, facilitated for 6 weeks by Dave Cormier. It further focuses on what we can learn by observing Twitter interactions particularly. As an explanatory mixed research design, Social Network Analysis and content analysis were employed for the purposes of the research. SNA is used at the macro, meso and micro levels, and content analysis of one week of the MOOC was conducted using the Community of Inquiry framework. The macro level analysis demonstrates that communities in a rhizomatic connectivist networks have chaotic relationships with other communities in different dimensions (clarified by use of hashtags of concurrent, past and future events). A key finding at the meso level was that as #rhizo15 progressed and number of active participants decreased, interaction increased in overall network. The micro level analysis further reveals that, though completely online, the nature of open online ecosystems are very convenient to facilitate the formation of community. The content analysis of week 3 tweets demonstrated that cognitive presence was the most frequently observed, while teaching presence (teaching behaviors of both facilitator and participants) was the lowest. This research recognizes the limitations of looking only at Twitter when #rhizo15 conversations occurred over multiple platforms frequented by overlapping but not identical groups of people. However, it provides a valuable partial perspective at the macro meso and micro levels that contribute to our understanding of community-building in cMOOCs.
机译:本文通过检查由戴夫·科米尔(Dave Cormier)主持的为期6周的特定cMOOC#rhizo15中的参与者互动,社区形成和游牧学习者行为,为连接主义,连接主义MOOC(cMOOC)和根际学习的文献做出了贡献。它进一步侧重于通过特别观察Twitter交互我们可以学到的东西。作为说明性的混合研究设计,社交网络分析和内容分析被用于研究目的。在宏观,中观和微观层面上都使用了SNA,并使用社区查询框架对MOOC进行了为期一周的内容分析。宏观层面的分析表明,有根茎的连接主义网络中的社区与其他社区在不同维度上具有混乱的关系(通过使用并发,过去和未来事件的标签来阐明)。在中观水平上的一个关键发现是,随着#rhizo15的进展和活跃参与者的数量减少,整个网络中的互动也有所增加。微观分析进一步表明,尽管完全在线,但开放的在线生态系统的性质对于促进社区的形成非常方便。第3周推文的内容分析表明,最常观察到认知存在,而教学存在(主持人和参与者的教学行为)最低。这项研究认识到#rhizo15对话是在多个平台上发生的,该平台经常出现重叠但不相同的人群,因此只能查看Twitter。但是,它在宏观的中观和微观层面提供了宝贵的局部视角,有助于我们了解cMOOC中的社区建设。

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