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Toward a domain-specific visual discussion forum for learning computer programming: An empirical study of a popular MOOC forum

机译:走向学习计算机编程的特定于域的视觉论坛:一个流行的MooC论坛的实证研究

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Online discussion forums are one of the most ubiquitous kinds of resources for people who are learning computer programming. However, their user interface - a hierarchy of textual threads - has not changed much in the past four decades. We argue that generic forum interfaces are cumbersome for learning programming and that there is a need for a domain-specific visual discussion forum for programming. We support this argument with an empirical study of all 5,377 forum threads in Introduction to Computer Science and Programming Using Python, a popular edX MOOC. Specifically, we investigated how forum participants were hampered by its text-based format. Most notably, people often wanted to discuss questions about dynamic execution state - what happens “under the hood” as the computer runs code. We propose that a better forum for learning programming should be visual and domain-specific, integrating automatically-generated visualizations of execution state and enabling inline annotations of source code and output.
机译:在线讨论论坛是正在学习计算机编程的人最无处不在的资源之一。但是,他们的用户界面 - 文本线程的层次结构 - 在过去的四十年中没有太大变化。我们争辩说,通用论坛界面对学习编程繁琐,并且需要一个用于编程的特定于域的视觉讨论论坛。我们通过对计算机科学介绍的实证研究,通过Python推出了所有5,377个论坛线程的实证研究,是使用Python,一个受欢迎的EDX Mooc。具体而言,我们调查了论坛参与者如何通过基于文本的格式阻碍。最值得注意的是,人们经常想讨论有关动态执行状态的问题 - 当计算机运行代码时,会发生什么“引擎盖”。我们建议一个更好的学习编程论坛应该是视觉和域的特定于域,集成的执行状态的自动生成的可视化,并启用源代码和输出的内联注释。

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