QR码编程任务与自动评估

Lasse Hakulinen, L. Malmi
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引用次数: 5

摘要

在本文中,我们提出了一种新的方法来支持编程任务的自动形成性评估。传统的自动化评估工具主要应用测试程序输出与模型输出的文本比较,而我们提出了一种基于QR(快速响应)代码应用图形输出的方法。在我们的方法中,编程任务是以这样一种方式制定的,即任务的正确输出是QR码。因此,可以通过扫描二维码来测试解决方案的正确性。尽管任务的形式很简单,但它们可以支持具有即时反馈、多种编程语言和学生表现的简单统计的自动评估。在某些情况下,关于误解的反馈也可以自动给出。此外,它们非常适合游戏式的学习环境,因为输出可以被解释为URL,从而在游戏中找到新的线索或谜题。这是非常有用的,例如在虚拟现实游戏中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QR code programming tasks with automated assessment
In this paper, we present a novel method to support automated formative assessment of programming tasks. Whereas traditional automated assessment tools mainly apply textual comparison of test program output vs. model output, we present a method that applies graphical output in terms of QR (Quick Response) codes. In our approach, programming tasks are formulated in such a way that the correct output of the task is a QR code. The correctness of the solution can therefore be tested by scanning the QR code. Despite the simple form of the tasks, they can support automated assessment with instant feedback, multiple programming languages, and simple statistics of students' performance. In some cases, feedback about misconceptions can also be given automatically. Moreover, they fit well to game-like learning environments, because the output can be interpreted as an URL which can lead to new clues or puzzles in a game. This is very useful, for example, in alternate reality games.
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