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

机译:评估开放学习者模型中不确定性可视化对学生元认知技能的影响

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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:自我评估在开放学习者模型(OLM)中被广泛用作一种元认知过程,以增强学生的自我调节学习能力。但是,当OLM显示系统对学生知识的信念与学生对答案正确性的信心之间的冲突(即不确定性)时,很少有研究调查可视化的影响。我们部署了这样的OLM并研究了其用途。不确定性可视化对学生学习,置信度和行动的影响是通过比较两种治疗条件和对照条件下的这些措施来确定的。使用OLM的人在测试后的表现明显更好,而能够分别看到两组信念的治疗组的人则显示出更大的置信度,并更多地使用了该系统。

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