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…

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…

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…

Higher education institutions (HEI) are increasingly challenged by plagiarism, which threatens their academic standards and integrity. This is due to the fact that students have access to an overwhelming amount of information online, making it easier for them to copy and paste without giving proper credit or attribution. Additionally, the…

The growing recognition of academic dishonesty as a major cross-cultural problem urges educators and researchers to examine various aspects of the issue. This qualitative case study examined secondary school students' intention to cheat and willingness to report observed academic cheating incidents. The participants comprised 20 students randomly…

Implementation of online education pedagogy and practice has expanded rapidly at colleges and universities in recent years, most notably in response to COVID-19. This innovative teaching/learning modality provides benefits to both faculty and students through dynamic teaching/learning content, immense flexibility, and technological investments to…

In this paper, we introduce "Integrity Games" (https://integgame.eu/)--a freely available, gamified online teaching tool on academic integrity. In addition, we present results from a randomized controlled experiment measuring the learning outcomes from playing "Integrity Games." "Integrity Games" engages students in…

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…

As technologies have been improved, item preknowledge has become a common concern in the test security area. The present study proposes an unsupervised-learning-based approach to detect compromised items. The unsupervised-learning-based compromised item detection approach contains three steps: (1) classify responses of each examinee as either…

The proposed experiment will examine the effect of deceptive behavior on memory. Participants will be assigned to a "strong-incentive to cheat" or "weak-incentive to cheat" condition and play the adapted Sequential Dyadic Die-Rolling paradigm. Specifically, Player A (computer; participants think it is another participant)…