The data in this special issue are both encouraging and discouraging. On the positive side, researchers are making theoretical breakthroughs into the psychology of the academic cheater, which may result in practical interventions. Yet the studies illustrate the sheer magnitude of the problem and the resources needed to address unethical behavior among the younger members of the American academe. In short, this special issue shows that the "Internet revolution" facilitates new types of academic dishonesty (Sisti, this issue; Stephens, Young, & (...) Calabrese, this issue); that academic cheating is often an intentional, planned act that results from a Machiavellian tendency to neutralize moral sanctions against cheating (Harding, Mayhew, Finelli, & Carpenter, this issue); that motivations to cheat differ across students (Davy, Kincaid, Smith, & Trawick, this issue; Wowra, this issue); and that academic cheating is a symptom of a larger problem (Lovett-Hooper, Komarraju, Weston, & Dollinger, this issue; Wowra, this issue). (shrink)

Academic dishonesty is a persistent problem in the American educational system. The present investigation examined how reports of academic cheating related to students' emphasis on their moral identities and their sensitivity to social evaluation. Seventy college students at a large southeastern university completed a battery of surveys. Symptoms of social anxiety were positively correlated with recall of academic cheating. Additionally, relative to students who placed less importance on their moral identities, students who placed more importance on their moral identities recalled (...) significantly fewer instances of cheating. In summary, these findings suggest that students are less likely to cheat on their school work when they place greater emphasis on their moral identity and are less sensitive to social evaluation. Practical interventions to rampant cheating in American schools are discussed. (shrink)

Academic dishonesty is an insidious problem that besets most tertiary institutions, where considerable resources are expended to prevent and manage students' dishonest actions within academia. Using a mixed retrospective and prospective design this research investigated Gottfredson and Hirschi's self-control theory as a possible explanation for academic dishonesty in 264 university students. The relationship between academic dishonesty and general criminality was also examined. A significant but small to moderate relationship between academic dishonesty and general criminality was present, including correlations with general (...) dishonesty, violent crime and drug offending subcategories. These findings suggested that a general criminological theory may be of use in explaining academic dishonesty, but the overall ability of self-control variables to explain academic dishonesty was not strong. Controlled logistic regressions indicated that a significant positive association with academic dishonesty was only present for one of 6 self-control subscales (self-centeredness), and even this association was only present in the prospective study component. A strong relationship between past and future academic dishonesty was present. Implications of the study for institutions are discussed. (shrink)

Although women hold more negative attitudes toward cheating than do men, they are about as likely to engage in academic dishonesty. Cognitive dissonance theory predicts that this attitude-behavior inconsistency should lead women to experience more negative affect after cheating than would men. This prediction was tested in a sample of 92 male and 78 female college students who reported having cheated on an examination during the prior 6 months. Consistent with the results of previous research, women reported more negative attitudes (...) toward cheating than did men, but cheated at the same rate. However, women did not experience more negative affect than did men, although they reported experiencing less positive affect. The gender difference in positive affect was partially mediated by the gender difference in attitudes. (shrink)

The purpose of the present studies was to evaluate and predict academic cheating with regard to a national examination in a Middle East country. In Study 1, 4,024 students took part and potential cheaters were classified as those having discrepant scores in multiple administrations that exceeded 1 SD in absolute terms. A latent class mixture analysis suggested two pathways for potential cheating: (a) The first path involved students—most male—who changed city or region of examination during test taking, and (b) the (...) second path described students—most male—who did not change city, region, or center of administration. Study 2 profiled cheaters using a sample of examinees who were actually caught cheating. Participants were 545 students, 253 of whom were caught cheating between 2002 and 2012. Both samples were selected from a pool of 319,219 testees using random sampling procedures. Results indicated that a 4-class solution best fitted the data as in Study 1. Furthermore, a predictive model was tested with an independent cross-validation sample of 112 examinees (56 cheaters, 56 noncheaters). Results indicated that the model classified correctly 78.57 of the new cheating cases (sensitivity) and 94.64% of noncheaters (specificity). (shrink)

Plagiarism is increasingly evident in business and academia. Though links between demographic, personality, and situational factors have been found, previous research has not used actual plagiarism behavior as a criterion variable. Previous research on academic dishonesty has consistently used self-report measures to establish prevalence of dishonest behavior. In this study we use actual plagiarism behavior to establish its prevalence, as well as relationships between integrity-related personal selection and workplace deviance measures. This research covers new ground in two respects: (a) That (...) the academic dishonesty literature is subject to revision using criterion variables to avoid self bias and social desirability issues and (b) we establish the relationship between actual academic dishonesty and potential workplace deviance/white-collar crime. (shrink)

Meta-analytic findings have suggested that individual differences are relatively weaker predictors of academic dishonesty than are situational factors. A robust literature on deviance correlates and workplace integrity testing, however, demonstrates that individual difference variables can be relatively strong predictors of a range of counterproductive work behaviors (CWBs). To the extent that academic cheating represents a kind of counterproductive behavior in the work role of "student", employment-type integrity measures should be strong predictors of academic dishonesty. Our results with a college student (...) sample showed that integrity test scores were moderate to strong correlates of self-reported academic cheating and that these relationships persisted even after controlling for a variety of measurement concerns such as item format similarity, concurrent assessment, and socially desirable responding. Implications for institutional honor codes and the broader relations between educational and workplace dishonesty are discussed. (shrink)

This study explored the relationship of current incidences of academic dishonesty with future norm/rule-violating behavior. Data were collected from 154 college students enrolled in introductory and upper-level psychology students at a large Midwest public university who received credit for participating. The sample included students from many different majors and all years of study. Participants completed a self-report survey that included a measure of Academic Dishonesty (including three subscales: Self-Dishonest, Social Falsifying, and Plagiarism) and an Imagined Futures Scale (five subscales that (...) included Norm/Rule Violating, Physically Threatening, Culturally Diverse, Emotionally Distressing, and Agentic Futures). Correlation analyses indicated a significant positive relationship between all three Academic Dishonesty subscales and an imagined norm/rule-violating future. Further, regression analyses revealed social falsifying as being significantly predictive of a norm/ rule-violating future. Suggestions are made alerting educators to the importance of monitoring and discouraging academic dishonesty as it may lead to rule-violating behavior in the future. (shrink)

The purpose of this study was to identify the relative contribution of individual and contextual predictors to students’ attitudes toward the acceptability of cheating and plagiarism. A group of 324 students from a tertiary institution in New Zealand completed an online survey. The findings indicate that gender, justice sensitivity, and understanding of university policies regarding academic dishonesty were the key predictors of the students’ attitudes toward the acceptability of cheating and plagiarism, both as agents of dishonest conduct and as witnesses (...) of misconduct among their peers. The implications of these findings for the development of policies and initiatives in tertiary institutions are discussed. (shrink)

The phenomenon of academic dishonesty among college students is prevalent, but its damage cannot be underestimated because the students' decisions to cheat were related to decisions to engage in similar unethical behavior in the workplace after graduation. To examine the influential factors of the cheating intention among part-time students with several years of work experience, we included an additional variable—unethical beliefs related to the workplace (professional unethical beliefs) into the theory of planned behavior. First-year business students on the job were (...) investigated from a university in northern Taiwan, resulting in a valid sample of 215 students. Our findings indicate that perceived behavioral control toward cheating and professional unethical beliefs have a greater impact on the intention to cheat. In addition, the subjective norm and attitudes also affect the students' cheating intention. Implications for managers and researchers are discussed, and suggestions for future research are offered. (shrink)

Some students do not cheat. Students high in measures of bravery, honesty, and empathy, our defining characteristics of heroism, report less past cheating than other students. These student heroes also reported that they would feel more guilt if they cheated and also reported less intent to cheat in the future than nonheroes. We find general consensus between students and professors as to reasons for the nonreporting of cheating, suggesting a general impression of insufficient evidence, lack of courage, and denial. Suggested (...) interventions in academia are based in positive psychology and an understanding of academic heroes. (shrink)

Previous research has shown that student plagiarism is the product of interplay between individual and situational factors. The present study examined the relationship between these two sets of factors with a particular focus on variables linked to students’ academic context namely, their perception of peer behaviors, their experience of adversities in academic life, and their year of enrollment. So far, these situational features have received scant attention in studies of plagiarism conducted in most of Europe. A survey was carried out (...) in a European higher education institution, involving a sample of 427 undergraduates. The data was analyzed via both conventional univariate and bivariate statistical analysis, and multivariate, multilevel modeling. The results suggest that awareness of peer plagiarizing and the experience of hardships in academic life, rather than level of academic achievement or year of study, are significantly related to plagiarizing, whereas heightened perception of the seriousness of plagiarism is associated with a lower likelihood of this type of behavior. The study also shows that students who plagiarize are more likely to be involved in other types of academic misconduct. (shrink)

Academic integrity violations on college campuses continue to be a significant concern that draws public attention. Even though AI has been the subject of numerous studies offering explanations and recommendations, academic dishonesty persists. Consequently, this has rekindled interest in understanding AI behavior and its influencers. This paper focuses on the AI violations of plagiarism and sharing homework for freshman business students, examining the factors that influence a student’s intention to plagiarize or share homework with others. Using a sample of more (...) than 1300 freshman business students over 2 years, we modeled intent to plagiarize and intent to share homework using factors in the Theory of Planned Behavior in addition to past violation behavior and moral obligation. Based on the results of this study, attitude, perceived behavioral control, subjective norm, and in addition past behavior and moral obligation, were found to significantly influence an individual’s intention to violate academic integrity, explaining 33 and 35 % of the variance in intention to commit an AI violation for sharing homework and plagiarism, respectively. These results contribute to a better understanding of individuals’ motivations for plagiarizing and sharing homework, which is a necessary step toward reducing academic integrity violations. (shrink)

This article focuses on the use of a technology-based intervention to change academic integrity knowledge and attitudes. Using a sample of more than 5,000 freshman students drawn from two major midwestern universities in the United States over a 3-year period, an online intervention was used to determine whether AI knowledge and attitudes could be changed. Based the results of this study, AI knowledge and attitudes can be improved using an online intervention. These results contribute to a better understanding of the (...) AI climate on campus and suggest that technology-based interventions can be used to enhance knowledge and change attitudes toward AI on campus. (shrink)

Previous research indicates that students in engineering self-report cheating in college at higher rates than those in most other disciplines. Prior work also suggests that participation in one deviant behavior is a reasonable predictor of future deviant behavior. This combination of factors leads to a situation where engineering students who frequently participate in academic dishonesty are more likely to make unethical decisions in professional practice. To investigate this scenario, we propose the hypotheses that (1) there are similarities in the decision-making (...) processes used by engineering students when considering whether or not to participate in academic and professional dishonesty, and (2) prior academic dishonesty by engineering students is an indicator of future decisions to act dishonestly. Our sample consisted of undergraduate engineering students from two technically-oriented private universities. As a group, the sample reported working full-time an average of six months per year as professionals in addition to attending classes during the remaining six months. This combination of both academic and professional experience provides a sample of students who are experienced in both settings. Responses to open-ended questions on an exploratory survey indicate that students identify common themes in describing both temptations to cheat or to violate workplace policies and factors which caused them to hesitate in acting unethically, thus supporting our first hypothesis and laying the foundation for future surveys having forced-choice responses. As indicated by the responses to forced-choice questions for the engineering students surveyed, there is a relationship between self-reported rates of cheating in high school and decisions to cheat in college and to violate workplace policies; supporting our second hypothesis. Thus, this exploratory study demonstrates connections between decision-making about both academic and professional dishonesty. If better understood, these connections could lead to practical approaches for encouraging ethical behavior in the academic setting, which might then influence future ethical decision-making in workplace settings. (shrink)

Since cheating is obviously wrong, arguments against it need only be mentioned in passing. But the argument of unfair advantage absurdly takes education to be essentially a race of all against all; moreover, it ignores that many cases of unfair advantages are widely accepted. On the other hand, the fact that cheating can hamper learning does not mean that punishing cheating will necessarily favour learning, so that this argument does not obviously justify sanctioning cheaters.

This study analyses the attitudes of university students towards unethical behaviour in the individual and organisational environments, and relates these attitudes to tolerance of corruption in their future professional lives. The results show a positive relationship between attitudes towards unethical behaviour in both environments, as well as tolerance towards acts of corruption, based on a virtual perception survey. Despite the general rejection attitude by students of such behaviour and acts, the rejection diminishes as their degree programme progresses. This study contributes (...) to our understanding of the tolerance of university students towards corruption, and to revealing how this attitude could explain tolerance towards this phenomenon in their future professional lives. (shrink)

Academic integrity is an essential pillar of any educational system. It is defined as acting in a manner consistent with the values and accepted standards of ethical practices in teaching, learning, and scholarship (Fishman, 2015). Contract cheating, or ghostwriting, is currently one of the most severe violations of academic integrity. It involves students engaging a third party, usually an online essay writing service, to complete their academic works on their behalf (Draper et al., 2021). Some of these services offer pre-written (...) essays, whereas others offer bespoke custom-written essays. According to the academic literature, the advent of the internet and digital technologies underlay this rapid deterioration of academic integrity (Ison, 2020; Lancaster & Clarke, 2014). Different learning environments, such as face-to-face (i.e., a learning environment involving the physical presence of both instructor and students) and online web-based (i.e., teaching mode that takes place partially or entirely over the internet), have been shown to affect academic integrity in different ways (Eshet et al., 2021). While contract cheating is common in both conventional face-to-face (F2F) and online settings, it is more likely to take place in the latter (Lancaster & Clarke, 2014; Slade et al., 2018). There are several possible explanations for why online students engage in contract cheating more often than F2F students. In particular, this includes the problem issue of psychological distance, which adversely affects interpersonal relationships; and the problem issue of moral distancing, because the internet can obscure the line between academically honest and dishonest behavior (Sharma & Maleyeff, 2003). These issues were further exacerbated by the sudden shift from F2F to emergency remote teaching (ERT) in response to the COVID-19 pandemic (Ahsan et al., 2021; Bjelobaba, 2021). Indeed, contract cheating had become a significant COVID-19 side effect for higher education institutions. In contrast to the well-planned F2F or online learning courses, ERTbased courses are not originally designed to be delivered virtually (Fatonia et al., 2020). The chaos brought by the abrupt campus closure and related unexpected transition to ERT provided both the opportunity and the incentive for contract cheating (Hill et al., 2021). Through social media, students have very quickly become fully aware of the possibilities of a wide variety of options to carry out Plagiarism (Bautista et al., 2022). There has been an increase in ways to try to bypass text-matching or text-reuse (i.e., plagiarism) detection systems, for example using micro-spaces, white ink, punctuation, and typos (Abdelhamid et al., 2022). Even though ghostwriters, especially commercial ones, claim their essays are original and therefore cannot be detected using text-matching software, third-party assignments may still contain recycled text (Aitken et al., 2017; Newton & Lang, 2015). Text matching detection software could use these breaches to identify outsourced academic work (Lancaster & Clarke, 2016; Wang & Xu, 2021). This study compared about four thousand term papers written in languages other than Hebrew. (shrink)