Detecting Learners' Weak Points Utilizing a Digital Pen

Kazuya Kishi, Motoki Miura
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Abstract

We consider that most learners tend to focus on and review only problems they incorrectly answered after performing exercises. To deepen their understanding, it is also necessary for learners to review problems that took time to answer even though they were answered correctly. However, it is difficult to judge which problems took time to answer with an ordinary pen and paper. Therefore, we adopt a digital pen to help learners to recognize parts of a problem that took long to complete. Using the pen-stroke interval data obtained by a digital pen, we can discover the weak points of a learner. In this study, we implemented the method and evaluated it by comparing the weak points extracted by the three methods. The results confirm that the method can detect weak points with an accuracy of about 50% to 60%.
利用数字笔检测学习者的弱点
我们认为大多数学习者在完成练习后倾向于只关注和复习他们答错的问题。为了加深他们的理解,学习者也有必要复习那些即使回答正确也要花时间才能回答的问题。然而,用普通的笔和纸很难判断哪些问题花了时间来回答。因此,我们采用数字笔来帮助学习者识别需要很长时间才能完成的部分问题。利用数字笔获得的笔画间隔数据,我们可以发现学习者的弱点。在本研究中,我们实现了该方法,并通过比较三种方法提取的弱点来对其进行评价。结果表明,该方法能以50% ~ 60%的准确率检测出薄弱点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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