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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 study surveyed 309 business students (180 men and 129 women) enrolled in introductory accounting and business law classes on various aspects of honesty in academics. The study was motivated by the need to examine the underlying issues associated with students’ perceptions of cheating and whistle-blowing. An increased understanding of these perceptions would be insightful to professors as well as administrators. The study examines students’ reasons on whether they should whistle-blow and whether their reasons associate with their intentions to whistle-blow if they observe cheating. When examining a student's intent to whistle-blow, we considered the student's prior cheating behavior, gender, social desirability response bias, intentions to cheat in the future, reasons not to whistle-blow, and prior whistle-blowing. Our data extends prior research by considering the reasons students choose not to whistle-blow. Our research indicates that the number of reasons not to whistle-blow and having observed other students cheating reduced the likelihood of a student whistle-blowing, after controlling for social desirability response bias. The research indicates that to prevent unethical behavior in the future, institutions need to enforce consequences for those who cheat because unethical behavior at the academic level associates with unethical behavior in the corporate setting.

This study surveyed 195 business students (74 women and 121 men) from three institutions on various aspects of honesty in academics. The study is driven by a concern for the audit implications of the increasing evidence of the link between unethical behavior in college and the workplace and students’ increasing insensitivity to ethical issues. The results of the study evaluate students’ opinions of cheating and the percentage of students who have or would whistle-blow if they observe cheating. The study also examined whether characteristics such as prior cheating behavior, gender, social desirability response bias (SDRB), the belief about doing more about cheating, and prior whistle-blowing will affect a student's intent to whistle-blow. Our data extends prior research on cheating and SDRB by testing their association with students’ self-reported tendency to whistle-blow. Our research indicates that students who have whistle-blown have a higher reported intention to whistle-blow after accounting for the effect of SDRB. Our data indicate that students’ intentions are an important factor that should be considered by instructors as well as researchers.

This paper looks at a particular type of cheating that occurs in an online university setting. That is, when students who have a connection from outside the online learning environment conspire to cheat together. It measures the correlations between student variables and cheating, instructional variables and cheating and learning outcomes and cheating. The purpose of this paper is to understand the relationships between these factors and cheating, in the hope that the multifaceted nature of academic dishonesty can be better understood.

This study surveyed a group of students (n = 88) who participated in cyber university classes in South Korea. The study investigates the correlations between student characteristics, student attitudes, instructional design, lecture quality and learning outcomes with cheating.

The research looks at correlations between stable demographic factors and student attitudes towards cheating and finds no strong relationships. On the other hand, this study finds statistically significant negative correlations between instructional design quality and cheating, and lecture quality and cheating. This shows that instructors can affect the amount their students cheat through improving the quality of their courses. Also, there was a significant relationship between students’ levels of learning, satisfaction, engagement and interest and cheating.

Looking at cheating from a variety of angles within a single research agenda gives a clear understanding to instructors as to how cheating in their class will manifest, and how it will negatively impact the quality of a student’s experience.

This study explores the effects of fraud triangle behaviors (pressure, opportunities, and rationalization) on students’ self-reported propensity to cheat in class. We found each fraud triangle factor to be an influence on the students’ propensity to cheat. Additionally, we observed a statistically significant three-way interactive effect indicating that all three factors jointly influence the students’ propensity to cheat. These findings provide insights for accounting educators concerned with preventing classroom cheating. They also confirm the call by Statement on Auditing Standards No. 99 for auditor focus on fraud triangle variables. This exploratory study also suggests that future research is needed to examine the interactive effects of personality characteristics with fraud triangle factors to better understand student cheating behaviors.

This study uses structural equation modeling to examine the influence of academic motivation on reported prior cheating behavior, neutralization tendencies, and likelihood of future cheating among accounting majors. It also investigates the impact of prior cheating on neutralization of cheating behaviors and the likelihood of future cheating, as well as the potential mediating effects of neutralization on future cheating behavior. Our results support differentiation of the theoretical constructs within the specified process model, and also show significant positive associations between an amotivational orientation and prior cheating, neutralization, and the likelihood of future cheating.

The purpose of this study is to design and implement an intelligent online proctoring system (IOPS) by using the advantage of artificial intelligence technology in order to monitor the online exam, which is urgently needed in online learning settings worldwide. As a pilot application, the authors used this system in an authentic university online exam and checked the proctoring result.

The IOPS adopts the B/S (Browser/Server) architecture. The server side is implemented with programming language C and Python and stores the identification data of all examinees and their important behavior change status, including facial expression, eye and mouth movement and speech. The browser side collects and analyzes multimodal data of the examinee writing the online test locally and transfers the examinee’s most important behavior status change data to the server. Real-time face recognition and voice detection are implemented with the support of open-source software.

The system was integrated into a Web-based intelligent tutoring system for school mathematics education. As a pilot application, the system was also used for online proctored exam in an undergraduate seminar in Peking University during the epidemic period in 2020. The recorded log data show that all students concentrated themselves on the exam and did not leave the camera and did not speak.

During the epidemic period of the novel coronavirus outbreak, almost all educational institutions in the world use online learning as the best way to maintain the teaching and learning schedule for all students. However, current online instruction platforms lack the function to prevent the learners from cheating in online exams and cannot guarantee the integrity and equality for all examinees as in traditional classroom exams. The literature review shows that the online proctoring system should become an important component of online exams to tackle the growing online cheating problem. Although such proctoring systems have been developed and put on the market, the practical usage of such systems in authentic exams and its effect have not been reported. Those systems are heavyweight and commercial product and cannot be freely used in education. The light-weight IOPS developed by the authors could meet the need for online exam as a stable and practical approach and could contribute to the growing online learning and distance learning.

This study examines the impact of generative artificial intelligence (GenAI), particularly ChatGPT, on higher education (HE). The ease with which content can be generated using GenAI has raised concerns across academia regarding its role in academic contexts, particularly regarding summative assessments. This research makes a unique contribution to the literature by examining university student and staff perceptions of current and future issues pertaining to the role of GenAI in universities.

A qualitative method involving five one-to-one semi-structured interviews with four students and a lecturer explored the ethical and practical issues of GenAI text generation in academia. An inductive thematic analysis was chosen as it provided nuanced insights aligned with the study’s goals.

Use of GenAI was discussed within the context of a range of topics, including perceptions of academic misconduct, authorial integrity and issues pertaining to university policies. Participants universally defined traditional classifications of academic misconduct but were unable to provide clear definitions where the use of GenAI was included for writing summative assessments. Students showed a more open engagement with GenAI, considering it a tool for overcoming obstacles rather than a means to plagiarise. Educators were generally more cautious and less optimistic about the academic role of GenAI. Lack of clear institutional policies surrounding such tools also contributed to ethical ambiguities.

The study highlights diverging perspectives between students and academics, which necessitate a forum for dialogue, ensuring the need to develop clear policies to steer the integration of GenAI in a manner that is beneficial for students and academics.