MOCSIDE: An Open-source and Scalable Online IDE and Auto-Grader for Computer Science Education

Jonathan M. Cazalas, Max Barlow, Ibraheem Cazalas, Chase Robinson
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Abstract

Programming is learned through practice, with said practice in introductory programming courses often translating to a prohibitively large number of assignments, increasing the grading workload for faculty and/or teaching assistants. In short, this is unsustainable. Several publishers and a few notable companies have provided meritable auto-grading solutions, although most are plagued with problems including minimal problem sets, limited customization options, high cost, and at times even a disconnect with the pedagogical needs of academia. This poster presents our newly-developed web application, MOCSIDE, an open-source and scalable online IDE and auto-grader for computer science education. Results indicate a positive user experience from students and instructors alike, with cost savings, ease of use, and code collaboration highlighted as key features.
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一个开源和可扩展的在线IDE和计算机科学教育的自动评分器
编程是通过实践来学习的,编程入门课程中的实践常常转化为大量的作业,增加了教师和/或助教的评分工作量。简而言之,这是不可持续的。一些出版商和一些著名的公司已经提供了不错的自动评分解决方案,尽管大多数都存在问题,包括问题集很少,定制选项有限,成本高,有时甚至与学术界的教学需求脱节。这张海报展示了我们新开发的web应用程序,MOCSIDE,一个开源和可扩展的在线IDE和自动评分器,用于计算机科学教育。结果表明,学生和教师都获得了积极的用户体验,节约成本、易于使用和代码协作是突出的关键特性。
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