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…

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…

In 2023, ChatGPT emerged as a transformative force in education, igniting widespread interest across academia. This paper rigorously investigates ChatGPT's impact on higher education using a mixed-methods approach, comparing its (ChatGPT) performance with real students' work in undergraduate assignments. Key findings reveal ChatGPT consistently…

One of the main goals of assignments in the academic environment is to assess the students' knowledge and mastery of a specific topic, and it is crucial to ensure that the work is original and has been solely made by the students to assess their competence acquisition. Therefore, Text-Matching Software Products (TMSPs) are used by academic…

Many instructional methods that focus on analytical, skill, and competency development have a single or small set of appropriate answers. Best-answer assignments are popular for largeenrollment classes because of the relative ease with which scoring and feedback can be managed at scale. However, cheating is regularly confirmed at disturbingly high…

This paper reports on a study of crowd-sourcing 'study aid' web platforms. Students are sharing completed academic coursework through a growing network of 'study aid' web platforms like CourseHero.com. These websites facilitate the crowd-sourced exchange of coursework, and effectively support plagiarism. However, virtually no data exists…

The COVID-19 pandemic has forced higher education institutions worldwide to shift from face-to-face (F2F) to emergency remote teaching (ERT), which has led to an increased concern about academic integrity. This study examines the relationship between learning environment and academic integrity via plagiarism detection software in different…

As they navigate academic life, students must decide whether the acts of copying they encounter constitute plagiarism, and whether those acts are wrong. The present study investigated students' perceptions, evaluations, and reasoning about copying. In interviews about hypothetical scenarios involving copying, undergraduates (N = 60) reported…

The integration of information and communication technologies (ICTs) into teaching and learning, and the implementation of computer-mediated methods of instruction in the form of e-learning in higher education, have led to the emergence of new methods of submitting assignments electronically. One of these methods employs a learning management…

Purpose: This study aims to investigate attitudes toward cheating among business students at a private university in Kenya and examine if a significant difference exists in cheating perceptions among students who have completed one or two ethics courses, and those who have done none. Design/methodology/approach: A total of 554 undergraduate…

Background and Context: Reports suggest plagiarism is a common occurrence in universities. While plagiarism detection mechanisms exist for textual artifacts, this is less so for non-code related ones such as software design artifacts like models, metamodels or model transformations. Objective: To provide an efficient mechanism for the detection of…

Contract cheating, or students outsourcing their assignments to be completed by others, has emerged as a significant threat to academic integrity in higher education institutions around the world. During the COVID-19, when traditional face-to-face instruction became unsustainable, the number of contract cheating students increased dramatically.…

This institutional self-study investigated the use of text-matching software (TMS) to prevent plagiarism by students in a Canadian university that did not have an institutional license for TMS at the time of the study. Assignments from a graduate-level engineering course were analyzed using iThenticate®. During the initial phase of the study,…

All methodologies for detecting plagiarism to date have focused on the final digital "outcome", such as a document or source code. Our novel approach takes the creation process into account using logged events collected by special software or by the macro recorders found in most office applications. We look at an author's interaction…

As lessons were forced to switch to online or hybrid mode during COVID-19, educators need to apply tools to foster engagement inside and outside the classroom. Screencasting software enables teachers to evaluate students' learning outcomes in compensation for the lack of face-to-face interactions. This study investigated the use of…