In this article, the authors explore the concerns surrounding academic dishonesty related to generative artificial intelligence (GAI). The authors argue that while there are valid worries about students using GAI in ways the displace student work, these anxieties are not new and have been observed with previous disruptive technologies such as the…

This preregistered meta-analysis investigated whether cultural values moderate the relations between students' achievement orientations and their tendency to cheat. We identified 80 studies on the associations between performance/learning orientations and academic cheating in 27 countries with 40,867 participants. Performance orientation…

This paper connects the problem of artificial intelligence (AI)-facilitated academic misconduct with crime-prevention based recommendations about the prevention of academic misconduct in more traditional forms. Given that academic misconduct is not a new phenomenon, there are lessons to learn from established information relating to misconduct…

Purpose: Although the academic literature provides extensive insight into the motivations for the unethical use of information technology in online classes, little is known about how perceived justice, the opportunity to cheat and spiritual legitimacy mitigate unethical behavior among young academics. The purposes of this study are two folds:…

When students experience unfairness and normlessness in their academic environment, it exemplifies the concept of social anomie. where students may justify dishonest actions such as exam cheating, plagiarism, and others. Academic honesty, a crucial moral characteristic, fundamentally relies on values, rules, and social norms. Against this…

Purpose: Academic dishonesty has been a source of concern for universities and colleges for decades; however, there is limited research linking allied health students to cheating behaviors. The purpose of this study was to explore which cheating behaviors occurred most frequently among speech-language pathology students and why. Method: This…

Although ethical sensitivity is a well-defined concept, few scales specifically assess the ethical sensitivity of students in higher education referring to academic honor codes. We conducted the current study to develop and validate a scale that measures the Ethical Sensitivity Scale in Academic Activities (ESS). Scale development followed a…

As elsewhere in the world, academic misconduct is a serious problem in Aotearoa. Yet, beyond the occasional newspaper headline, we know relatively little about the extent of the problem here or the factors associated with it. Consequently, our educational leaders and practitioners are left under-informed as they seek to address the problem and…

The development of Generative Artificial Intelligence (GenAI) tools like ChatGPT have transformed the academic landscape, offering learning opportunities while raising significant challenges regarding academic integrity. This study explores student perceptions and behaviours concerning academic integrity and the use of GenAI in the context of an…

Unproctored Computerized Adaptive Testing (CAT) is gaining traction due to its convenience, flexibility, and scalability, particularly in high-stakes assessments. However, the lack of proctor can give rise to aberrant testing behavior. These behaviors can impair the validity of test scores. This paper explores the use of a verification test to…

Academic misconduct is common in both secondary and higher education and schools still lag behind in preventing unethical behavior. The present research addressed the effectiveness of formative activities aimed at improving ethical behavior of students in secondary education. The probability of engaging in cheating, harming others, hiding…

Using thematic analysis and the Theory of Practice Architectures (TPA), this study assessed educator perceptions of the 2022 criminalisation of providing or advertising contract cheating (CC) services in the United Kingdom (UK). Semi-structured interviews were conducted with ten participants from ten different UK-based Higher Education…

There has been considerable speculation about the risk that new generative AI tools like ChatGPT pose to higher education, particularly assessments and cheating. However it is unclear how much risk the UK higher education sector is exposed to. This survey study used a modified list experiment to evaluate that risk. Most students surveyed were…

This paper reports the key findings from two student surveys undertaken at our institution in the academic years 2020-21 and 2021-22. The research was based on the Bretag et al. (2018) student survey undertaken in various Australian universities. After discussions with both Bretag and Harper, we adapted the questions to our context -- a Russell…

The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…