PowerGrader:基于PowerShell的编程课程自动代码评估

Fei Zuo, J. Rhee, M. Park, Gang Qian
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引用次数: 1

摘要

大学里的编程课程通常涉及大量的编码作业,这给教师带来了沉重的评分负担。为了缓解这个问题,自动编程评估工具越来越成为一种需求,而不是一种选择。然而,在我们的教学实践中,考虑到实际需求,我们注意到目前的解决方案仍然存在不足和局限性。在解决这些挑战的过程中,我们提出并实现了一个全新的基于PowerShell的代码评估应用程序,该应用程序具有可扩展性和可配置性。特别是,我们将黑盒测试和词法分析集成到系统中,从而实现满足特定需求的定制解决方案。本文介绍了我们的代码自动评估应用程序的体系结构和设计。此外,我们根据技术接受模型对所提出的系统进行了实证评估,并从可靠性和公平性方面调查了手工评估编码分配的缺点。最后,评估证明了我们提出的自动评分器在促进针对大学水平编程课程的代码评估方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PowerGrader: Automating Code Assessment Based on PowerShell for Programming Courses
Programming courses in colleges often involve a myriad of coding assignments, which brings heavy grading workloads for instructors. To alleviate this problem, automatic programming evaluation tools are becoming more of a requirement than an option. However, after considering the actual requirements in our teaching practice, we have noticed that the current solutions still suffer from shortcomings and limitations. In the process of addressing the challenges, we propose and implement a brand new code assessment application based on PowerShell, which shows both extendibility and configurability. In particular, we integrate both black-box testing and the lexical analysis into the system, thus achieving a customized solution to meet specific requirements. This paper presents the architecture and design of our automatic code assessment application. Furthermore, we conduct empirical evaluations on the proposed system following the Technology Acceptance Model, and also investigate the drawbacks of manual assessment of coding assignments in terms of reliability and fairness. Finally, the evaluations demonstrate the effectiveness of our proposed auto-grader in facilitating the code assessment targeting college-level programming courses.
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