Seeing what the system thinks you know: visualizing evidence in an open learner model

Seeing what the system thinks you know: visualizing evidence in an open learner model
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查看系统认为您知道的内容:在开放学习者模型中可视化证据

DOI:
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发表时间:
2012
期刊:
International Conference on Learning Analytics and Knowledge
影响因子:
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通讯作者:
Tobias Ley
Tobias Ley
中科院分区:
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文献类型:
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作者:
Barbara Kump;C. Seifert;G. Beham;Stefanie N. Lindstaedt;Tobias Ley

文献摘要

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自适应学习系统中的用户知识水平可以基于被解释为知识指示事件(KIE)的用户交互来评估。这样的方法使得用户可能难以理解并且不一定准确的复杂推断。我们提出了MyExperiences,一个开放的学习者模型,旨在向用户展示他们的推论,以及底层数据。MyExperiences是第一个基于树图的开放学习模型之一。它构成了一个例子,如何研究开放式学习者模型和信息可视化可以结合在一个创新的方式。
User knowledge levels in adaptive learning systems can be assessed based on user interactions that are interpreted as Knowledge Indicating Events (KIE). Such an approach makes complex inferences that may be hard to understand for users, and that are not necessarily accurate. We present MyExperiences, an open learner model designed for showing the users the inferences about them, as well as the underlying data. MyExperiences is one of the first open learner models based on tree maps. It constitutes an example of how research into open learner models and information visualization can be combined in an innovative way.