Cloud-based Computer Labs and Their Silver Linings

William H. Bird
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Abstract

The beginning of a first programming course is often overwhelming for students, with the cognitive load of the programming itself compounded by the need to install and configure compilation tools and become accustomed to the build process. Students who develop code on their own machines might have extra difficulty if their environment does not match the environment used by their instructors or in lab sessions. This article discusses the experience of the authors using the cloud-based JupyterHub platform, which provides each student a private Linux VM, to provide a uniform environment for introductory C programming.
基于云计算的计算机实验室及其一线希望
对于学生来说,第一门编程课程的开始通常是压倒性的,编程本身的认知负荷与安装和配置编译工具的需要以及对构建过程的习惯相结合。在自己的机器上开发代码的学生可能会遇到额外的困难,如果他们的环境与导师或实验中使用的环境不匹配。本文讨论了作者使用基于云的JupyterHub平台的经验,该平台为每个学生提供一个私有的Linux VM,为入门级C编程提供统一的环境。
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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