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This study aims to explore the factors that contribute to student academic dishonesty through an examination of the misuse of AI language models. Using the fraud triangle theory, which posits that opportunity, rationalization and pressure are key factors for fraudulent behavior, this study investigates how these elements interact and contribute to academic dishonesty among students.

In this study, data on how accounting students used ChatGPT to cheat was acquired from 279 accounting students in Jordanian public universities over the course of two months, from January 2023 to March 2023, through previously tested and validated questionnaires. The main tool for gathering data was a questionnaire distributed online using Microsoft Forms.

The results show that all of the fraud triangle factors are significant determinants of student academic dishonesty and student misuse of ChatGPT. The findings of this research can be used to guide the development of technology-based preventative measures.

This study provides valuable insights into the motivations and factors that drive students to engage in academic dishonesty and sheds light on the broader issue of technology-assisted academic dishonesty and its impact on the educational system. This study’s contribution is significant, as it sheds light on a pressing issue in education and provides valuable information for educators and policymakers to address the problem and improve academic standards.

The aim of this paper is to explore the behavior pattern, perceptions, and motivations of students towards academic misconduct in a Business School with a view to mitigating its occurrence.

The survey was conducted among a batch of undergraduate students who responded to various dimensions of plagiarism through a structured questionnaire. Responses were measured on a Likert scale. Some non-parametric tests were done for statistical analysis.

From the perception of the prevalence of plagiarism committed by others, the authors found that the majority tend to believe that it happens in spite of the existence of preventive policies. Based on the findings, the authors conclude that the students who are more prone to cheating/plagiarism are male, with low grade point average, and are not on scholarship. Parental disapproval is found to be one of the dominant deterrent factors that have the potential to restrain unethical behavior.

The findings demonstrate that the managers of graduate programs should include parental roles in the deterrent mechanism to improve the quality of education.

Very little evidence exists about the perception of academic dishonesty among the students of a multicultural academic institution located in a middle-east country. There are not many studies that analyze the effectiveness of deterrents from a student’s perspective. In this paper, the authors have attempted to assess the value of various deterrents and their effectiveness as perceived by the students.

This study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the scattering of literature on this topic, given the challenge and opportunity for the educational and academic community.

This review highlights the enormous social influence of COVID-19 by mapping the extensive yet distinct and fragmented literature in AI and academic integrity fields. Based on 163 publications from the Web of Science, this paper offers a framework summarising the balance between AI and academic integrity.

With the rapid advancement of technology, AI tools have exponentially developed that threaten to destroy students' academic integrity in higher education. Despite this significant interest, there is a dearth of academic literature on how AI can help in academic integrity. Therefore, this paper distinguishes two significant thematical patterns: academic integrity and negative predictors of academic integrity.

This study also presents several contributions by showing that tools associated with AI can act as detectors of students who plagiarise. That is, they can be useful in identifying students with fraudulent behaviour. Therefore, it will require a combined effort of public, private academic and educational institutions and the society with affordable policies.

This study proposes a new, innovative framework summarising the balance between AI and academic integrity.

This empirical survey is conducted to investigate the prevalence rate of academic dishonesty (AD) in examinations and assignments among undergraduates. The study compared the difference in admitted behaviours of academic dishonesty between male and female students comprising second-year, third-year and fourth-year students from the discipline of business, engineering, information technology (IT) and education.

A cross-sectional study was utilized in this study and collected data via the online questionnaire. A total of 1,624 respondents participated from four public universities of four provinces in China Mainland.

The findings showed that the proportion of respondents from China participating in AD is between 15.4 and 51.7%. The findings showed that more than two-thirds of the respondents stated involved dishonesty in examinations and assignments at least once during the previous academic year. In addition, male and female undergraduates in second-year, third-year and fourth-year showed statistically significant differences in dishonest behaviours. Specifically, the male/senior students were more involved in dishonest behaviours than the females/sophomores.

Unlike previous studies, this study found that discipline in the Chinese context was not a significant demographic predictor of dishonesty. Although not significantly different, the respondents majoring in business reported a high engagement rate of dishonesty, followed by engineering and information technology undergraduates, but education undergraduates revealed the lowest engagement rate of dishonesty. The target integrity education should be imparted among male and senior students.

Academic integrity in tertiary education is a global concern. This chapter describes academic integrity in Australian universities and proposes an “it takes a village” framework to guide universities toward a re-evaluation of academic integrity education. It takes a village to raise a child – a child needs role models and positive influences from multiple people for healthy growth and development. With regard to academic integrity, the parallel is that the entire university community needs to be involved to foster development of students of integrity. The institution and its community need to provide structures, multiple positive and effective learning experiences, and clear guidelines to support both staff and students. In this chapter, we argue that academic integrity needs to be seen as a complex system, one in which everyone involved has responsibility to develop and maintain a culture of integrity and one which supports a student throughout their academic journey.

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: first, to determine how perceived lecturers’ justice and opportunity to cheat may mitigate academic misconduct in online classes, and second, to evaluate the moderating effect of spiritual power on the relationship between perceived lecturers’ justice and opportunity to cheat and academic misconduct.

This research was conducted at universities in three Southeast Asia countries, including Indonesia, Malaysia and Thailand, with a total of 339 respondents. The research questionnaire was distributed using Google Forms. The analytical method used to test the research hypothesis is moderated regression analysis (MRA).

The findings of this study reveal that spirituality moderates the relationship between lecturer justice and the opportunity to cheat online. Even though the justice level of the lecturer is low, individuals with relatively high spirituality will show much less cheating behavior than when there is a low level of lecturer justice and a low level of student spirituality, and vice versa.

Cheating occurs when students develop an intention to cheat, which leads to actual involvement in cheating, meaning that theoretically, the findings extend the fraud triangle theory. In addition, the practical implications of this research are that lecturers need to conduct fair teaching, such as transparency of exam conditions, assessment, the right to an opinion and supervision during exams, consequently, the students cannot cheat. Spirituality is also an essential factor that can reduce online cheating, so instilling spirituality in specific courses is a fruitful solution.

The contributions of this study are twofold. First, this study gives testable theories on how spiritual help works. Second, this study offers tailored and more humanistic assistance, such as a mechanism that adjusts to the academic world’s usage of more positive technologies. This study contributes to the literature on online cheating in higher education across three Southeast Asian nations (Indonesia, Malaysia and Thailand).

This paper aims to examine the opportunities and challenges of using ChatGPT in higher education. Furthermore, it is also discuss the potential risks and plunders of these tools.

The paper discuss the use of artificial intelligence (AI) in academia and explores the opportunities and challenges of using ChatGPT in higher education. It also highlights the difficulties of detecting and preventing academic dishonesty and suggests strategies that universities can adopt to ensure ethical and useful use of these tools.

The paper concludes that while the use of AI tools, ChatGPT in higher education presents both opportunities and challenges. The universities can effectively address these concerns by taking a proactive and ethical approach to the use of these tools. This paper further suggests that universities should develop policies and procedures, provide training and support, to detect and prevent cheating intentions.

The paper provides insights into the opportunities and challenges of using ChatGPT in higher education, as well as strategies for addressing concerns related to academic dishonesty. The paper further adds importance to the discussion on the ethical and responsible use of AI tools in higher education.

For researchers and sector agencies around the world, poor academic integrity is seen as a significant risk to universities (Bretag & Harper, 2017; QAA, 2020; TEQSA, 2019). Given the existential threat that acts of academic misconduct are deemed to pose to higher education, interest in ways of developing academic integrity is correspondingly high and often invokes the concept of values (Macfarlane et al., 2014; Morris, 2018). However, to ascribe to academic integrity, the status of a self-evident, perhaps universal, value of contemporary higher education is contentious on many levels. This chapter takes in turn three of the most common ways in which students and scholars infringe on the principles of academic integrity – plagiarism, collusion, and contract cheating – and explores what the prohibiting of each of these acts reveals about the values of contemporary higher education. It argues that, far from neutral or universal, the values of academic integrity appear both normative and culturally specific, promoting a particular conception of higher education which risks excluding large sections of the global population. To counter this, the notion of threshold values – borrowing from Meyer and Land's (2005) notion of the “threshold concept” – is proposed, identifying the development of shared values as crucial to ensuring that contemporary, globalized universities are inclusive and accessible spaces.

The purpose of this paper is to demonstrate the advancements in artificial intelligence (AI) and conversational agents, emphasizing their potential benefits while also highlighting the need for vigilant monitoring to prevent unethical applications.

As AI becomes more prevalent in academia and research, it is crucial to explore ways to ensure ethical usage of the technology and to identify potentially unethical usage. This manuscript uses a popular AI chatbot to write the introduction and parts of the body of a manuscript discussing conversational agents, the ethical usage of chatbots and ethical concerns for academic researchers.

The authors reveal which sections were written entirely by the AI using a conversational agent. This serves as a cautionary tale highlighting the importance of ethical considerations for researchers and students when using AI and how educators must be prepared for the increasing prevalence of AI in the academy and industry. Measures to mitigate potential unethical use of this evolving technology are also discussed in the manuscript.

As conversational agents and chatbots increase in society, it is crucial to understand how they will impact the community and how we can live with technology instead of fighting against it.

Dark triad (DT) personality traits, that is, Machiavellianism, narcissism and psychopathy, are socially unenthusiastic and predict a range of antisocial behaviors. Academic entitlement, similarly, demonstrates the students’ rising temptation of higher grades without putting corresponding efforts. Based on coercion theory, this research investigated power distance as mediator between DT and academic entitlement (externalized responsibility and entitled expectations). Further, this study examined DT model of personality as a predictor of academic entitlement in Chinese higher education institutions (HEIs).

Chinese HEIs were ascertained for data collection. Students (with bachelor’s, master’s and Ph.D. degrees) responded to 719 questionnaires for data analysis. Hypothesized relationships were examined through partial least squares structural equation model (PLS-SEM).

This study established positive and significant direct link between DT and academic entitlement. The indirect effect through power distance was found insignificant between the relationship of DT and academic entitlement.

Based on coercion theory, this study extends the prevailing literature through unexplored effects of DT on academic entitlement and role of power distance in Chinese HEIs. This study validated the effect of DT on academic entitlement; however, direct-only no-mediation of power distance between the relationships is novel in Chinese HEIs. Moreover, power distance as mediator is novel between the relationships. Hence, this study provides an understanding of mentioned associations and contributes to the literature.