A total of 1390 university students from five public Moldovan universities completed a survey reporting their experiences and beliefs with respect to 22 types of academic misconduct. An interpretable five-factor solution to the frequencies of these behaviors accounted for more than half of the total variance. The two most reliable predictors were 1) how often students witnessed other students engage in these behaviors, and 2) perceived acceptability of the behaviors. Demographic predictors of these behaviors predicted minimal variance. Implications and limitations (...) of the findings are discussed. (shrink)

Moral and self-conscious emotions like guilt and shame can function as internal negative experiences that punish or deter bad behaviour. Individual differences exist in people’s tendency to experience guilt and shame. Being disposed to experience guilt and/or shame may predict students’ expectations of their emotional reactions to engaging in immoral behaviour in the form of academic misconduct, and thus dissuade students from intending to engage in this behaviour. In this study, students’ (n = 459) guilt and shame proneness, their expectations (...) of feeling guilt and shame if they engaged in academic misconduct, and their intentions to engage in academic misconduct were measured. Three of the four facets of the guilt and shame proneness scale [GASP: Guilt–Negative-Behavior-Evaluation (NBE), Guilt-Repair, Shame–Negative-Self-Evaluation (NSE)] had significant negative correlations with academic misconduct intentions, and these relationships were mediated by anticipating shame and guilt related to engaging in academic misconduct. These results suggest that for some students expecting to experience negative moral emotions when engaging in academic misconduct may protect them from breaching ethical assessment rules. (shrink)

Academic dishonesty occurs at alarming rates in higher education. In the present study, we examined predictors of academic cheating behaviors, and beliefs in the acceptability of cheating, in disliked courses at two large universities, using structural equation modeling. Perceived mastery and extrinsic goal structures were related to beliefs about cheating but not cheating behaviors. Beliefs in the acceptability of cheating were more likely to be endorsed in math and science courses. College students were more likely to cheat and to believe (...) in the acceptability of cheating when they reported a high need for sensation. (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)