Contract cheating is a relatively new phenomenon that is gaining attention in higher education because it is particularly difficult to detect. Instead of purchasing a paper from an outside source, contract cheating involves hiring someone specifically to create that work for the student. The problem
Face-to-face instructors who give in-class exams have a challenge when moving their courses online: How to ensure that students do not cheat on the exams by collaborating? Different methods have been developed to address the problem. For instance, institutions can send each student a 360-degree
As many classes and exams migrate online, many professors are increasingly concerned about an uptick in cheating. Preliminary numbers indicate those concerns are valid. In August 2020, Derek Newton in The Hechinger Report disclosed that at North Carolina State University, for example, 200 students in
Although some behaviors are pretty much universally identified as cheating (copying exam answers, for example), we’re not in agreement on everything. Particularly significant are disagreements between faculty and students (for example, students don’t think cheating occurs if they look something up on their phone and
Cheating and its related issues have been studied extensively for decades. There’s an overwhelming amount of literature. However, results from the past and the present confirm that cheating has been and continues to be a serious problem in higher education.
Here’s an overview of what’s been
Cheating among college students remains rampant. Our institutional and/or course policies aren’t stopping much of it. There are lots of reasons why, which we could debate, but the more profitable conversation is how we get students to realize that cheating hurts them. I don’t think
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Contract cheating is a relatively new phenomenon that is gaining attention in higher education because it is particularly difficult to detect. Instead of purchasing a paper from an outside source, contract cheating involves hiring someone specifically to create that work for the student. The problem is that traditional plagiarism detection tools scan databases of academic articles and prior student work for matches. But because contract cheating involves creating new work, it will not show up in a database search.
To combat the problem, new tools are starting to emerge that look for signs within the work itself that the student did not produce it. In the past, faculty did the same by looking for a radical departure in writing style from past examples of a student work. By contrast, new systems compare a student’s work to general characteristics of commercially produced work that distinguish it from student work, and thus they do not need the specific student’s past work for comparison.
Olumide Popoola, who has investigated contract cheating, found eight characteristics of commercially produced essays (Lee, 2021). Compared to student essays, commercial essays
These characteristics suggest an underlying theme: that the contracted writer does not have much, if any, expertise in the subject matter of the work and compensates with linguistic tricks that attempt to cover up the lack of substance. After all, the outside writer is not in the course and so has not done the readings or sat in the lectures that would produce the requisite knowledge. This is essentially a new take on the old student claim that essays allow them to con the instructor with flowery language. The strategy might work with an instructor who reads essays for keywords, but not one who tries to follow the line of reasoning.
Plagiarism detection tools are starting to incorporate these analytics into their originality reports. Turnitin, for instance, is now able to check a student’s work against their past work for differences in writing style. Interestingly, these tools are codifying principles that faculty used to determine when work “smelled fishy” prior to the internet and plagiarism detection tools. They are just doing it in a more objective way. Back then the problem, which is still an issue today, was that without an outside example that the student’s work clearly copied, the instructor could not prove that the student cheated. The instructor needed to confront the student with the evidence and hope that the student fessed up.
Recently, Sikanai, a tech startup, added a new tool for plagiarism detection. Instructors send the company a student work, and the Auth+ system analyzes that work to come up with questions about it. It then sends the student a six-question quiz that the company asserts will determine whether the student wrote the work. That quiz is proctored, and the questions are even timed in relation to their difficulty to determine whether the student has trouble with easy questions.
Sikanai also offers Slate Desktop, a citation and reference management desktop app that integrates with Microsoft Word, like RefWorks and other such software. The system comes with a built-in originality checker that will alert the student when they have matches. While some many worry that the feature will only help students hide their cheating, many student plagiarism problems result from poor paraphrasing skills, and this type of system can help students learn how to properly paraphrase using their own words rather than examples given in tutorials.
While no system is perfect, the mere knowledge that an instructor is using these tools may deter student cheating. Along with instruction on how to avoid plagiarism, these tools give instructors more ways to teach students how to synthesize and summarize an author’s ideas while giving them proper credit for the work, which is the end goal of all academic honesty efforts.
Lee, C. (2021, April 6). International Center for Academic Integrity Conference 2021 panel recaps part 1 of 2. Turnitin. https://www.turnitin.com/blog/international-center-for-academic-integrity-conference-2021-panel-recaps-part-1-of-2
