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…

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…

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…

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 emergence of generative artificial intelligence (GenAI) has caused significant disruptions on a global scale in various workplace settings, including the field of instructional design (ID). Given the paucity of research investigating the impact of GenAI on ID work, we conducted a mixed methods study to understand instructional designers (IDs)'…

Few studies examine plagiarism in a Middle Eastern context, specifically from the perspectives of preservice teachers. As future gatekeepers of academic integrity, preservice teachers need to understand plagiarism. This study surveyed 128 female preservice teachers in one university in the Gulf Cooperation Council (GCC) countries. The survey…

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…

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…

A frequently encountered security issue in writing tests is nonauthentic text submission: Test takers submit texts that are not their own but rather are copies of texts prepared by someone else. In this report, we propose AutoESD, a human-in-the-loop and automated system to detect nonauthentic texts for a large-scale writing tests, and report its…

The ambition of the article is to create an awareness among upper secondary school pupils on what academic integrity and source criticism mean. Instead of devoting time to a general presentation of academic studies, the claim is that a collective reflection based upon the common practices of pupils (sources) could be efficient to describe the…

Academic plagiarism is a pressing concern in educational institutions. With the emergence of artificial intelligence (AI) chatbots, like ChatGPT, potential risks related to cheating and plagiarism have increased. This study aims to investigate the authenticity capabilities of ChatGPT models 3.5 and 4 in generating novel, coherent, and accurate…

Plagiarism has been among the top forms of academic misconduct. Detective, reactive and proactive measures are taken to mitigate plagiarism in scholarly works. Text-matching tools play a significant role in the detection of plagiarism. Many studies have tested the performance of text-matching tools in detecting plagiarism from various…

Background and Context: Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, such tools do not identify plagiarism, nor suggest what assignment submissions are suspicious of plagiarism. Source code plagiarism…

This study aims to remove some of the ambiguities of visual plagiarism in interior design (those related to the visual composition of space represented by line, form, shape, texture, time, colour, light, etc.) by examining the main detection methods, the extent of the issue, and the experiences and roles of academic interior designers. Two main…