Educating Computer Programming Students about Plagiarism through Use of a Code Similarity Detection Tool

T. Le, A. Carbone, Judithe Sheard, M. Schuhmacher, Michael de Raath, C. Johnson
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引用次数: 12

Abstract

Technology empowers students but can also entice them to plagiarise. To tackle this problem, plagiarism detection tools are especially useful, not only in popular thinking as a deterrent for students, but also as an educational tool to raise students' awareness of the offence and to improve their academic skills. Commercial text matching tools (e.g. Turnitin) are at a high level of maturity. These tools offer the ability to interact with students, making them suitable for an educational objective. Additionally, they can be readily integrated into learning environments enabling uniform application at an institutional level. On the other hand, computer source code matching tools, despite their successful detection performance, are mostly used as standalone tools that are difficult to adopt at an institutional level. The research presented in this paper describes the trial and evaluation of a tool that is seamlessly integrated into the Moodle virtual learning environment. The tool provides code similarity scanning capability within Moodle so that institutions using this learning environment could apply this tool easily at an enterprise level. Additionally, the educational aspects available in text matching tools have been added into the tool capability. The tool relies on two popular code matching services, MOSS and JPlag, as underlying engines to provide good code similarity scanning performance. The evaluation of the tool from both academics' and students' perspectives indicates a considerable level of interest in using the tool, and supports the suitability of this tool for wider institutional adoption in the computing education community.
通过使用代码相似度检测工具对计算机编程学生进行抄袭教育
科技赋予学生权力,但也可能诱使他们抄袭。为了解决这个问题,抄袭检测工具特别有用,不仅在大众心目中可以吓阻学生,而且还可以作为一种教育工具,提高学生对犯罪行为的认识,提高他们的学术技能。商业文本匹配工具(例如Turnitin)处于高度成熟的水平。这些工具提供了与学生互动的能力,使它们适合于教育目标。此外,它们可以很容易地集成到学习环境中,从而在机构级别上实现统一的应用程序。另一方面,尽管计算机源代码匹配工具具有成功的检测性能,但它们大多被用作独立的工具,难以在机构层面采用。本文介绍的研究描述了一个工具的试验和评估,该工具无缝集成到Moodle虚拟学习环境中。该工具在Moodle中提供了代码相似度扫描功能,因此使用该学习环境的机构可以在企业级上轻松地应用该工具。此外,文本匹配工具中可用的教育方面已添加到工具功能中。该工具依赖于两个流行的代码匹配服务,MOSS和JPlag,作为底层引擎来提供良好的代码相似度扫描性能。从学者和学生的角度对该工具的评估表明了使用该工具的相当程度的兴趣,并支持该工具在计算教育社区中更广泛的机构采用的适用性。
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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