The purpose of this study was to map the distribution of publications on plagiarism among higher educational institutions in sub-Saharan Africa (SSA). Studies reviewed were based on 171 plagiarism related publications within a decade (2012-2022). Findings revealed that most plagiarism related articles were published in 2016. Additionally, a…

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…

Background: Because plagiarism is such a common form of academic dishonesty, many instructors are seeking ways to effectively teach students to avoid plagiarism. Objective: The current study tested the effectiveness of a 3-pronged intervention to teach students in an upper-level psychology course to better understand plagiarism. Method: 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…

This study examines whether graduate students in STEM fields at an R1 institution understand copyright law. Thirty graduate students participated in semi-structured interviews related to copyright and ownership. This study revealed that these students often conflate issues around copyright and plagiarism and have little understanding of their own…

Thousands of students and hundreds of institutions participate in intercollegiate forensics competitions each year. Previous research has discovered instances of plagiarism by competitors on multiple occasions, despite this being against the rules of competition and a violation of academic norms. The purpose of this pragmatic qualitative research…

In this brief we shift the current academic integrity conversation from "detecting and preventing plagiarism" to "examining how plagiarized contents can be corrected with an objective knowledge of the number of words to modify and properly acknowledged". We proposed a simple, yet useful and powerful mathematical model that is…

Journals and publishers are increasingly using artificial intelligence (AI) to screen submissions for potential misconduct, including plagiarism and data or image manipulation. While using AI can enhance the integrity of published manuscripts, it can also increase the risk of false/unsubstantiated allegations. Ambiguities related to journals' and…

Plagiarism is a prevalent issue in academic settings that demoralises the integrity of learning and assessment processes. This study aimed to explore students' perceptions towards plagiarism, their level of plagiarism awareness, the causes of plagiarism, and potential strategies to tackle this issue. Data was collected through surveys and…

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 paper provides a systematic and critical review of the existing literature on the phenomenon of 'commercial contract cheating' (CCC). Unlike some existing systematic reviews generally on CCC, this paper focuses on the potential causes and suggested preventative measures specifically, intending to develop effective interventions on the basis…

The proliferation of artificial intelligence (AI)-generated content, particularly from models like ChatGPT, presents potential challenges to academic integrity and raises concerns about plagiarism. This study investigates the capabilities of various AI content detection tools in discerning human and AI-authored content. Fifteen paragraphs each…

The pandemic represented a context where rapid changes to planning, organization and service delivery were undertaken to respond to an urgent and life-threatening health system problem. There was intense interest in knowledge mobilization--mechanisms that allow the timely sharing of evidence with the aim of supporting improvement--to mitigate the…

Scientific research is supposed to acquire or generate knowledge, but such a purpose would be severely undermined by instances of research misconduct (RM) and questionable research practices (QRP). RM and QRP are often framed in terms of moral transgressions by individuals (bad apples) whose aberrant acts could be made conducive by shortcomings in…

I argue that wrong of plagiarism does not primarily stem from the plagiarist's illicit misappropriation of academic credit from the person she plagiarized. Instead, plagiarism is wrongful to the degree to which it runs counter to the purpose of academic work. Given that this is to increase knowledge and further understanding plagiarism will be…