It's just about learning the multiplication table

Martin Schön, Martin Ebner, Georg Kothmeier
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引用次数: 33

Abstract

One of the first and basic mathematical knowledge of school children is the multiplication table. At the age of 8 to 10 each child has to learn by training step by step, or more scientifically, by using a behavioristic learning concept. Due to this fact it can be mentioned that we know very well about the pedagogical approach, but on the other side there is rather less knowledge about the increase of step-by-step knowledge of the school children. In this publication we present some data documenting the fluctuation in the process of acquiring the multiplication tables. We report the development of an algorithm which is able to adapt the given tasks out of a given pool to unknown pupils. For this purpose a web-based application for learning the multiplication table was developed and then tested by children. Afterwards so-called learning curves of each child were drawn and analyzed by the research team as well as teachers carrying out interesting outcomes. Learning itself is maybe not as predictable as we know from pedagogical experiences, it is a very individualized process of the learners themselves. It can be summarized that the algorithm itself as well as the learning curves are very useful for studying the learning success. Therefore it can be concluded that learning analytics will become an important step for teachers and learners of tomorrow.
这只是关于学习乘法表
小学生最早和最基本的数学知识之一是乘法表。在8到10岁的时候,每个孩子都必须通过一步一步的训练来学习,或者更科学地说,通过使用行为主义学习概念来学习。由于这一事实,可以说我们非常了解教学方法,但另一方面,关于逐步增加学生知识的知识却很少。在本出版物中,我们提供了一些数据,记录了在获取乘法表过程中的波动。我们报告了一种算法的发展,该算法能够从给定的池中适应给定的任务,以适应未知的学生。为此目的,开发了一个基于网络的学习乘法表的应用程序,然后由儿童进行测试。随后,研究小组和老师绘制并分析了每个孩子的所谓学习曲线,并进行了有趣的研究结果。学习本身可能不像我们从教学经验中知道的那样可预测,它是学习者自己的一个非常个性化的过程。综上所述,算法本身以及学习曲线对于学习成功率的研究是非常有用的。因此,可以得出结论,学习分析将成为未来教师和学习者的重要一步。
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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