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Contract cheating, or plagiarism via paid ghostwriting, is a significant academic ethical issue, especially as reliable methods for its prevention and detection in students’ assignments remain elusive. Contract cheating in academic assessment has been the subject of much recent debate and concern. Although some scandals have attracted substantial media attention, little is known about the likely prevalence of contract cheating by students for their university assignments. Although rates of contract cheating tend to be low, criminological theories suggest that people who (...) employ ghostwriters for their assignments are likely to re-offend, and little is known about re-offence rates in this form of academic misconduct. We combined previously-collected datasets and conducted additional, and previously-unreported, analyses on self-report measures of contract cheating prevalence. We found that few students, on aggregate, ever engaged in contract cheating but this varied substantially among samples. Of those who ever engaged in contract cheating, 62.5% did so more than once. The data also suggested that engagement in contract cheating is influenced by opportunity. These figures may help policy makers, and researchers who are creating contract cheating detection methods, to estimate base rates of contract cheating and the likelihood of re-offence. (shrink)

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Contract cheating refers to students paying a third party to complete university assessments for them. Although opportunities for comercial contract cheating are widely available in the form of essay mills, only about 3% of students engage in this behaviour. This study examined the reasons why most students do not engage in contract cheating. Students (n = 1291) completed a survey on why they do not engage in contract cheating as well as measures of several individual differences, including self-control, grit and (...) the Dark Triad traits. Motivation for learning and morality received the greatest endorsement for why students do not engage in contract cheating. Controlling for gender, individual differences predicted students’ reasons for not contract cheating. This study supports the use of criminological theories relating to self-control and opportunity to explain why students do not engage in contract cheating. Practically, this study may inform academic policies and assessment design that may reduce contract cheating. (shrink)

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IntroductionWith a definition that is evolving, a serious component of the contract cheating issue involves individuals paying a third-party to complete assessment items for them and then submitting this work as if it were their own. The issue of contract cheating poses a significant problem for tertiary institutions. The research literature conducted to date has addressed contract cheating, yet few papers discuss theory-based prevention strategies, and even fewer still evaluate the impact of theory-based prevention strategies.Case descriptionThis paper discusses a case (...) study of contract cheating that was identified in a business simulation operating in a capstone unit at a large Australian university. The problem is outlined, the theory-based intervention is explained, and the impact on the contract cheating problem is quantified.Discussion and evaluationBuilding on a platform provided by criminological theory and crime prevention practice, the Unit Coordinator systematically adjusted a large number of assessment elements to ensure contract cheating was less likely. Importantly, this intervention was effective but also did not disadvantage students who were not engaging in contract cheating.ConclusionsOverall, this paper connects criminological theory and crime/problem prevention practice with academic misconduct issues with the intent of demonstrating there is potential to minimise the opportunity for contract cheating by altering the opportunity structures for assessment items. Crucially, this can be done without impeding genuine student efforts and does not depend on apprehension and conviction. (shrink)

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ObjectivesBuilding on what is known about the non-random nature of crime problems and the explanatory capacity of opportunity theories of crime, this study explores the utility of using existing university administrative data to detect unusual patterns of performance consistent with a student having engaged in contract cheating (paying a third-party to produce unsupervised work on their behalf).MethodsResults from an Australian university were analysed (N = 3798 results, N = 1459 students). Performances on unsupervised and supervised assessment items were converted to (...) percentages and percentage point differences analysed at the academic discipline-, unit-, and student-level, looking for non-random patterns of unusually large differences.ResultsNon-random, unusual patterns, consistent with contract cheating, were found at the academic discipline-, unit-, and student-level, with approximately 2.1% of students producing multiple unusual patterns.ConclusionsThese findings suggest it may be possible to use existing administrative data to identify assessment items that provide suitable opportunities for contract cheating. This approach could be used in conjunction with targeted problem-prevention strategies (based on situational crime prevention) to reduce the vulnerability of academic assessment items to contract cheating. This approach is worthy of additional research as it has the potential to help academic institutions around the world manage contract cheating; a problem that currently threatens the validity and integrity of tertiary qualifications. (shrink)

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Concerns over students engaging in various forms of academic misconduct persist, especially with the post-COVID19 rise in online learning and assessment. Research has demonstrated a clear role of the personality trait psychopathy in cheating, yet little is known about why this relationship exists. Building on the research by Curtis et al. (Personality and Individual Differences, 185, 111277, 2022a), this study tested an extended Theory of Reasoned Action (TRA) model, including psychopathy as a precursor to attitudes and subjective norms, and measures (...) of anticipated moral emotions (shame and guilt), to predict cheating intentions and cheating behaviours. A cross-sectional survey was administered online to university students from around the globe (n = 257). Results from a serial mediation analysis revealed that psychopathy predicted academic misconduct behaviours indirectly through attitudes, subjective norms, anticipated guilt (but not anticipated shame), and intentions. These findings indicate that cheating may be reduced by modifying attitudes to cheating, subjective norms regarding cheating, and anticipated feelings of guilt related to engaging in academic misconduct. In addition, the results revealed high rates of several forms of cheating, particularly in unsupervised online tests, which have been used more widely since the COVID-19 pandemic. This finding raises concerns regarding the poor security of such assessments. (shrink)

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