Evaluating Prospects in Programming with Features in Graphic Function Use

Tomoharu Kobayashi, Hiromitsu Shimakawa, Fumiko Harada
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Abstract

In this paper, we propose a quantitative evaluation method of students’ thinking in group learning. Thinking evaluation will become increasingly important in programming education in Japan. However, it is impossible for instructors to single-handedly evaluate their students’ thinking at the same time. It is necessary to provide a quantitative evaluation method that can be applied to a variety of educational situations in order to help instructors. We define coding vectors based on students’ source code that will serve as an indicator of evaluation. Moreover, we judge students’ prospects through a 3-step analysis with their coding vectors. We analyzed coding vectors for 22 participants obtained through a task experiment. We evaluated students’ thinking from three perspectives: visualization, distance, and direction. As a result, all three ways had the ability to grasp students’ thinking content. Coding vectors allow us to comprehensively judge students’ coding steps and their prospects. In this paper, we discuss the expressive power of coding vectors for coding content, and task settings appropriate for them.
图形函数应用中特征编程的前景评价
在本文中,我们提出了一种定量评价学生在小组学习中的思维的方法。在日本的编程教育中,思维评价将变得越来越重要。然而,教师不可能同时单枪匹马地评估学生的思维。有必要提供一种可以应用于各种教育情况的定量评价方法,以帮助教师。我们根据学生的源代码定义编码向量,作为评估的指标。此外,我们通过对学生编码向量的三步分析来判断学生的前景。我们分析了通过任务实验获得的22名参与者的编码向量。我们从三个角度评估学生的思维:可视化、距离和方向。因此,这三种方法都有能力抓住学生的思维内容。编码向量可以让我们全面判断学生的编码步骤和他们的前景。在本文中,我们讨论了编码向量对编码内容的表达能力,以及适合于它们的任务设置。
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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