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Exploring Navigation Styles in a FutureLearn MOOC

机译:未来探索导航样式了解MOOC

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This paper presents for the first time a detailed analysis of finegrained navigation style identification in MOOCs backed by a large number of active learners. The result shows 1) whilst the sequential style is clearly in evidence, the global style is less prominent; 2) the majority of the learners do not belong to either category; 3) navigation styles are not as stable as believed in the literature; and 4) learners can, and do, swap between navigation styles with detrimental effects. The approach is promising, as it provides insight into online learners' temporal engagement, as well as a tool to identify vulnerable learners, which potentially benefit personalised interventions (from teachers or automatic help) in Intelligent Tutoring Systems (ITS).
机译:本文首次提出了由大量活跃学习者支持的MOOC中细粒度导航样式识别的详细分析。结果表明:1)虽然顺序式风格很明显,但整体风格不太突出; 2)大多数学习者不属于任何一个类别; 3)导航风格不像文献中所认为的那样稳定;和4)学习者可以并且确实在具有不利影响的导航样式之间进行交换。该方法很有希望,因为它可以洞察在线学习者的时间投入,并提供一种工具来识别易受攻击的学习者,这可能使智能辅导系统(ITS)中的个性化干预(受益于教师或自动帮助)受益。

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