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Visualising alignment to support students’ judgment of confidence in open learner models
User Modeling and User-Adapted Interaction ( IF 3.6 ) Pub Date : 2020-01-22 , DOI: 10.1007/s11257-019-09253-4
Lamiya Al-Shanfari , Carrie Demmans Epp , Chris Baber , Mahvish Nazir

Knowledge monitoring is a component of metacognition which can help students regulate their own learning. In adaptive learning software, the system’s model of the student can be presented as an open learner model (OLM) which is intended to enable monitoring processes. We explore how presenting alignment, between students’ self-assessed confidence and the system’s model of the student, supports knowledge monitoring. When students can see their confidence and their performance (either combined within one skill meter or expanded as two separate skill meters), their knowledge monitoring and performance improves, particularly for low-achieving students. These results indicate the importance of communicating the alignment between the system’s evaluation of student performance and student confidence in the correctness of their answers as a means to support metacognitive skills.

中文翻译:

可视化对齐以支持学生对开放学习者模型的信心判断

知识监控是元认知的一个组成部分,可以帮助学生调节自己的学习。在自适应学习软件中,系统的学生模型可以表示为开放式学习者模型 (OLM),旨在启用监控过程。我们探索如何呈现学生自我评估的信心与学生系统模型之间的一致性,以支持知识监控。当学生可以看到他们的信心和他们的表现(在一个技能表中组合或扩展为两个单独的技能表)时,他们的知识监控和表现就会得到改善,尤其是对于成绩不佳的学生。
更新日期:2020-01-22
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