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Evaluating the Effect of Uncertainty Visualisation in Open Learner Models on Students' Metacognitive Skills

机译:评估不确定性可视化在开放式学习者模型中的效果对学生的元认知技巧

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Self-assessment is widely used in open learner models (OLMs) as a metacognitive process to enhance students' self-regulated learning. Yet little research has investigated the impact of the visualisation when the OLM shows the conflict (i.e., uncertainty) between the system's beliefs about student knowledge and students' confidence in the correctness of their answers. We deployed such an OLM and studied its use. The impact of the uncertainty visualisation on student learning, confidence gains and actions was determined by comparing these measures across two treatment conditions and a control condition. Those who accessed the OLM performed significantly better on the post-test, and those in the treatment group who could see both sets of beliefs separately showed greater confidence gains and used the system more.
机译:自我评估广泛用于开放的学习者模型(OLM)作为一种元认知过程,以增强学生的自我监管学习。然而,当OLM在系统对学生知识和学生对其答案的正确性方面的信心之间的冲突(即,不确定性)之间的冲突(即,不确定性)对他们对答案的正确性相信的冲突(即不确定性)来调查了可视化的影响。我们部署了这样的OLM并研究了它的使用。通过在两个治疗条件和控制条件下比较这些措施,确定了不确定可视化对学生学习,信心收益和行动的影响。那些进入OLM的人在后检验后表现更好,并且可以看到两组信仰的治疗组中的那些分别表现出更大的置信度,并更多地使用该系统。

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