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首页> 外文会议>2017 27th EAEEIE Annual Conference >A Framework for Automated Assignment Generation and Marking for Plagiarism Mitigation
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A Framework for Automated Assignment Generation and Marking for Plagiarism Mitigation

机译：抄袭缓解的自动作业生成和标记框架

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摘要

Most academic institutions have policies around academic integrity, and students who are found to have violated the policies are disciplined. In spite of this, a number of students cheat. The most common and easily detectable form is plagiarism, where someone else's work is copied across and claimed as one's own.Experience suggests that about 30% of the class might be plagiarizing, though some research point to as much as 70% cheating in various forms. Dealing with plagiarism is a highly time-consuming affair. Prior research observed high value low frequent assignments as the most plagiarized as opposed to low value high frequent ones. It is therefore desirable to have low value high frequent assignments so as to reduce plagiarism incidents, thereby reducing the time spent on dealing with detected plagiarism cases.This paper discusses the implementation of an automated assignment generation and marking framework that is able to deliver high frequent assignments and automatically grade the submitted solutions. More importantly, the framework supports personalized assignments so that every student gets a different problem set to solve. This means that blindly copying answers from another student will not help gain any mark.The paper briefly shares some of the experience using the framework in engineering and science, where staff and students felt positively about the system and observed a huge reduction in plagiarism incidents. The reduction in the incidents resulted in saving a large amount of time that would have otherwise been spent on dealing with the incidents.
机译：大多数学术机构都有关于学术诚信的政策，对发现违反政策的学生进行纪律处分。尽管如此，仍有许多学生作弊。抄袭是最常见且最容易发现的形式，抄袭他人的作品并声称是自己的作品。经验表明，班上大约有30％的人可能是，窃，尽管一些研究指出，多达70％的人以各种形式作弊。处理窃是一件非常耗时的事情。先前的研究发现，高价值的低频率作业是窃最多的，与低价值的高频率作业相对。因此，希望有低价值的高频率作业，以减少窃事件，从而减少处理检测到的窃案件所花费的时间。本文讨论了能够实现高频率频繁作业的自动作业生成和标记框架的实现。作业并自动为提交的解决方案评分。更重要的是，该框架支持个性化作业，因此每个学生都可以解决不同的问题。这意味着盲目复制另一个学生的答案将无济于事。本文简要地分享了使用工程和科学框架的一些经验，在该框架中，教职员工和学生对该系统持积极态度，并发现reduction窃事件大大减少了。事件的减少导致节省了大量本来用于处理事件的时间。

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