As biomedical cognitive enhancement becomes more popular in competitive contexts such as schools, teachers and administrators will face new challenges related to cognitive enhancement and cognitively enhanced students. In this dissertation, I identify five of the most pressing ethical challenges presented by cognitively enhanced students in a…

This paper examines the concept of "academic integrity." Drawing on Calhoun's social perspective of integrity and on MacIntyre's goods-based view of practice, we propose to understand acting with academic integrity as standing before others and with others, firmly but non-dogmatically, to protect the integrity of academic practice and,…

Academic dishonesty of students is a problem that threatens the integrity of educational institutions. Understanding the sources of academic dishonesty has become an urgent need, which compels higher educational institutions to evaluate and redesign approaches to address this problem. To develop new and important insights about this this form of…

This cross-sectional study investigated the efficacy of an extended theory of planned behavior in predicting academic dishonesty among students of higher education. The participants comprised 328 undergraduates drawn from Nigerian and Malaysian public universities. Existing measures were adapted and validated using Cronbach's alpha statistics and…

For years, a lively debate has been going on about the normative implications of the relationship between pharmacological cognitive enhancement (PCE) and education. While much has been said about PCE's potential to undermine academic achievement or enable cheating, with surprisingly many authors drawing comparisons to doping in sports, one key…

In recent years, machine learning (ML) techniques have received more attention in detecting aberrant test-taking behaviors due to advantages when compared to traditional data forensics methods. However, defining "True Test Cheaters" is challenging--different than other fraud detection tasks such as flagging forged bank checks or credit…

This paper connects the problem of artificial intelligence (AI)-facilitated academic misconduct with crime-prevention based recommendations about the prevention of academic misconduct in more traditional forms. Given that academic misconduct is not a new phenomenon, there are lessons to learn from established information relating to misconduct…

Teachers' conceptions of fairness influence their approaches to assessment. Perceptions of fairness underpin how teachers legitimate their values and provide reasons for teachers to defend assessment decisions and actions. This study therefore examined fairness conceptions at a critical stage in teachers' journey towards assessment capacity: their…

Purpose: 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:…

Academic misconduct stemming from file-sharing websites is an increasingly prevalent challenge in tertiary education, including information technology and engineering disciplines. Current plagiarism detection methods (e.g., text matching) are largely ineffective for combatting misconduct in programming and mathematics-based assessments. For these…

This article presents a general-purpose method for detecting cheating in online courses, which combines anomaly detection and supervised machine learning. Using features that are rooted in psychometrics and learning analytics literature, and capture anomalies in learner behavior and response patterns, we demonstrate that a classifier that is…

While the integrity of academic work has always been vitally important, since the establishment of the International Center for Academic Integrity in 1992 increasing attention has been paid to the area. The term academic integrity now explicitly appears in policy and in job titles or offices tasked with either detection, training, or both.…

Academic misconduct and academic integrity are issues of importance to Higher Education Institutions (HEIs). Phraseologies and practices may conflate unintentional mistakes with attempts to gain illegitimate advantage, with some groups potentially at higher risk. HEIs across the United Kingdom (UK) responded to a Freedom of Information Act (FOI)…

Cheating in higher education is a significant problem. The study aims to determine nursing students' attitudes and opinions toward cheating in exams. The type of research is descriptive. The research data were collected in the classroom environment of 716 students in day and evening education programs. The research data were collected using…

As computer-based testing becomes more prevalent, the attention paid to response time (RT) in assessment practice and psychometric research correspondingly increases. This study explores the rate of Type I error in detecting preknowledge cheating behaviors, the power of the Kullback-Leibler (KL) divergence measure, and the L person fit statistic…