We present a model with corrupt and honest examiners, and applicants with heterogeneous innate ability in the education sector with effort and bribe modelled as substitutes. The results show that 'strong' candidates rely only upon effort; 'medium' candidates choose positive levels of bribe and effort; 'weak' candidates rely only on bribery. They…

This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…

This study investigated cheating behaviours, contributing factors, and strategies to enhance the integrity of assessment in an online learning context. The researchers conducted an analysis of the literature on students' motivation to cheat in online modules and noted that there is limited research on the specific reasons why students cheat in…

Response time information has recently attracted significant attention in the literature as it may provide meaningful information about item preknowledge. The methods that use response time information to identify examinees with potential item preknowledge make an implicit assumption that the examinees with item preknowledge differ in their…

Modern transformation processes in higher education alongside with positive effects have a negative impact on the higher education system in the Russian Federation. The purpose of the article is to find the main ways to overcome corruption in the system of Russian higher education. Russian society is developing in a legalised falsification of…

Background: Institutions of higher learning are persistently struggling with issues of academic dishonesty such as plagiarism, despite the availability of university policies and guidelines for upholding academic integrity. Methodology: This was a descriptive qualitative study conducted on 37 students of a Healthcare Ethics course at an Australian…

Recent approaches to the detection of cheaters in tests employ detectors from the field of machine learning. Detectors based on supervised learning algorithms achieve high accuracy but require labeled data sets with identified cheaters for training. Labeled data sets are usually not available at an early stage of the assessment period. In this…

Discussions around assessment integrity often focus on the exam conditions and the motivations and values of those who cheated in comparison with those who did not. We argue that discourse needs to move away from a binary representation of cheating. Instead, we propose that the conversation may be more productive and more impactful by focusing on…

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…

Academic dishonesty and how to address it are common concerns across higher education disciplines, but engineering students admit to higher rates of academic dishonesty than other students. However, first-year students may be particularly receptive to prevention efforts. Considering self-perception, social norming, and behavioral choice theories,…

The current work introduces the concept of AI-trap questions as a tool for maintaining academic integrity in online courses. AI-trap questions are assessment tools designed to detect cheating by exploiting generative AI's tendency to provide answers that are common rather than context-specific. This paper explores theoretical perspectives of…

Collaboration, the process by which individuals work together toward mutual benefits, is a core feature of human sociality. Capacities for collaboration emerge early in development and represent an important social competence. Yet, collaborative commitments can conflict with commitments to societal norms such as honesty and rule compliance, and…

Indirect questioning techniques such as the randomized response technique aim to control social desirability bias in surveys of sensitive topics. To improve upon previous indirect questioning techniques, we propose the new Cheating Detection Triangular Model. Similar to the Cheating Detection Model, it includes a mechanism for detecting…

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…