大规模学习的教育规划系统

Qianxiang Wang, Wenxin Li, T. Xie
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引用次数: 4

摘要

大规模学习编程是计算机科学教育的基础,从基础编程到高级软件工程主题。我们迫切需要为大规模学习编程提供有效的系统支持。在这种系统支持的各种可取特性中,系统支持应允许学生通过在线集成开发环境(IDE)编写程序,允许学生获得关于他们如何执行给定编程练习的反馈,等等。为了对大规模编程学习提供有效的系统支持,北京大学的研究团队开发了两个系统:POP(北京大学在线编程系统)和POJ(北京大学在线裁判系统)。这两种制度在世界各地(特别是中国)的学生中产生了很大的影响。在本文中,我们概述了这两个系统,以及我们正在进行的和未来的工作,以扩展系统,从而在支持大规模学习编程方面获得更高的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Educational programming systems for learning at scale
Learning programming at scale underlies computer science education ranging from basic programming to advanced software engineering topics. There are strong needs of providing effective system supports for learning programming at scale. Among various desirable characteristics of such system supports, system supports shall allow students to write programs via an online Integrated Development Environment (IDE), allow students to get feedback on how they perform on the given programming exercises, etc. To aim for such effective system supports for learning programming at scale, research teams from Peking University have developed two systems: POP (denoting Peking University Online Programming System) and POJ (denoting Peking University Online Judge System). These two systems have achieved high impact among students around the world (especially those in China). In this paper, we present the overview of the two systems, along with our ongoing and future work on extending the systems for achieving higher effectiveness in supporting learning programming at scale.
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