Authentic assessment is often positioned as an educational panacea, invoked in response to a broad range of complex problems. This paper considers authentic assessment in relation to three key challenges: preparing graduates for the future, cheating, and inclusion. Despite literature supporting its potential benefits, there is limited evidence on…

Academic misconduct by students is a serious issue that threatens the public trust in higher education institutions. In the current study, we examine whether SACCIA (Sufficient, Accurate, Clear, Contextualised and Interpersonally Adaptive) communication predicts lower academic misconduct via attitudes towards cheating and understanding what…

This study analyzes predominant themes and disciplinary and methodological trends in academic integrity and misconduct research. It utilizes bibliometric analysis to explore prevalent themes and interdisciplinary intersections within discussions based on Scopus metadata. R Studio, which uses "biblioshiny" software, is employed to…

This novel study explores "AI-giarism," an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. The objective of this study is to investigate students' perception of adopting generative AI for research and study purposes, and their understanding of traditional plagiarism and their…

Modafinil is a prescription-only drug in most countries. It is mainly used to treat narcolepsy and sleep disorders, but it is also used, without a prescription, as a cognitive enhancer by [approximately 10% of UK University students. Previous research has focused on the prevalence of, and motivations for, these behaviours. Here we focused…

A survey conducted in 2023 surveyed 3,017 high school and college students. It found that almost one-third of them confessed to using ChatGPT for assistance with their homework. The rise of Large Language Models (LLMs) such as ChatGPT and Gemini has led to a surge in academic misconduct. Students can now complete their assignments and exams just…

Machine learning has evolved and expanded as an interdisciplinary research method for educational sciences. However, cheating detection of test collusion among multiple examinees or sets of examinees with unusual answer patterns using machine learning techniques has remained relatively unexplored. This study investigates collusion on…

The purpose of this quantitative study is to identify the extent of the differences in the frequency and severity of academic misconduct reporting before and after the COVID-19 pandemic at a particular higher education institution in the southwestern United States. The number of case files were tallied for each of the nine semesters preceding the…

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…

Mastering SQL programming skills is fundamental in computer science education, and Online Judging Systems (OJS) play a critical role in automatically assessing SQL codes, improving the accuracy and efficiency of evaluations. However, these systems are vulnerable to manipulation by students who can submit "cheating codes" that pass the…

Generative Artificial Intelligence (GAI) introduces new opportunities for society. While some universities have adopted GAI with a more hostile stance, others have done so with a more progressive perspective. In light of this contradiction, the main query is what is causing this controversy. The ethical issues surrounding GAI and academic…

Cheating emerges early in development and has significant moral development implications. This research investigated whether cheating in 5- to 6-year-olds reflects strategic decision-making or impulsivity. Through four preregistered studies, we systematically manipulated adult presence and observability across multiple conditions using a…

This paper reviews issues of academic integrity, focusing on unethical practices in Kenyan universities. The rapid expansion of university education in Kenya, followed by a significant decline in the number of qualified students seeking to join private universities since 2017 have created financial pressures on universities. Some universities have…

In the current experiment, we examined the effects of self-generated deceptive behavior on memory. Participants (n = 230) were randomly assigned to a "strong-incentive to cheat" or "weak-incentive to cheat" condition and played the adapted Sequential Dyadic Die-Rolling paradigm. Participants in the "strong-incentive to…

Cheating detection in large-scale assessment received considerable attention in the extant literature. However, none of the previous studies in this line of research investigated the stacking ensemble machine learning algorithm for cheating detection. Furthermore, no study addressed the issue of class imbalance using resampling. This study…