When faced with pervasive--and increasingly creative--forms of plagiarism and cheating, what should faculty members do? Give in? Give up? Or should they consider the classic break-up line "It's not you--it's me" and make changes in the ways they assess student learning? If faculty truly wish to increase student success and decrease acts…

The purpose of this study was to examine Ethiopian secondary school students' level of engagement, justification, and perceived severity of academic cheating behaviors. A mixed research approach was employed. In the study, 1246 students randomly selected from public and private secondary schools participated. Data were collected using…

Purpose: This report documents research and related materials concerning plagiarism in STEM and engineering programs to inform and guide future work in the field. It provides an overview of the literature up to and including 2019 related to plagiarism in STEM and engineering programs. Methods: Two research questions guided this literature review:…

In this classroom note, we outline a system of assessment used by the authors since 2020 to deliver individualized summative assessments to students from first- and second-year mathematics courses. Our system comprises three modular components allowing a mix-and-match of different technological approaches and mathematical question types. First is…

At present, technology is essential for everyone in their daily lives. The classroom is no exception to this rule. Within the last 15 years, the relationship between technology and education has grown tremendously. This article seeks to examine the impact of modern technology like LMS, 1:1 initiatives, and other computer-assisted teaching methods…

Researchers frequently use machine-learning methods in many fields. In the area of detecting fraud in testing, there have been relatively few studies that have used these methods to identify potential testing fraud. In this study, a technical review of a recently developed state-of-the-art algorithm, Extreme Gradient Boosting (XGBoost), is…

To date, the way that academic misconduct is manifested in undergraduate mathematics coursework has been unexamined in the literature, with the consequence that policy and preventive education can fail to address it appropriately. This paper describes the particular features of the responses expected in mathematical tasks and provides concrete…

Benefiting from item preknowledge (e.g., McLeod, Lewis, & Thissen, 2003) is a major type of fraudulent behavior during educational assessments. This paper suggests a new statistic that can be used for detecting the examinees who may have benefitted from item preknowledge using their response times. The statistic quantifies the difference in…

With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better…

This article argues that ethical authorship is essential for the ethical use of artificial intelligence (AI). It examines tensions that historical understandings of authorship have created as instructors and students alike navigate AI technologies. Given these tensions, this article proposes a definition of "ethical authorship" and uses…

Academic writing courses are critical in higher education. However, they often rely on directive measures, or "shoves," that impose rigid guidelines, high-stakes assessments, and punitive consequences. These approaches, such as inflexible deadlines and harsh grading penalties, can increase student anxiety, disengagement, and surface…

The advent of remote learning and the over-representation of international students in contract cheating literature have contributed to the beliefs that a digital pathway to higher education necessitates academic malpractice, and that this phenomenon is more prevalent among non-native students. This study seeks to contribute to the existing…

The increasing reliance on Generative Artificial Intelligence (GenAI) among students and knowledge workers poses significant risks and raises integrity concerns, prompting some institutions to impose bans on its use. With scant research on a guided framework, strategies, and checklists for the utilization of GenAI, we propose a framework based on…

Students including health sciences at universities that appear to subscribe to neoliberal logic are at risk for social injustices and inequalities, anxiety, depression, academic demands and unethical activities. There has been little discussion about students' self-care and well-being in and beyond the neoliberal universities. This article…

Purpose: This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and…