This paper explores the academic integrity considerations of students' use of Artificial Intelligence (AI) tools using Large Language Models (LLMs) such as ChatGPT in formal assessments. We examine the evolution of these tools, and highlight the potential ways that LLMs can support in the education of students in digital writing and beyond,…

This paper provides insights based on the authors' own practice as university instructors, researchers and arbitrators of student plagiarism. Recognising the difficulty in defining plagiarism while still acknowledging the practical importance of doing so, the authors find the common element between the various types of plagiarism to be the lack of…

This paper is concerned with reporting the experience and findings of staff using a commercially-available text-matching tool (Turnitin) to detect plagiarism in a university setting in New Zealand. The use of actual instances of plagiarism revealed through Turnitin in a teaching department is a departure from the more usual self-reporting…

Issues of academic plagiarism in educational institutions are often played out in the public arena. Media reports that "scandals" occur in universities where plagiarism has gone undetected, or unpunished can undermine public faith in the academic integrity of higher education. Antiplagiarism software has been successfully marketed to…

It is accepted that using electronic detection methods has benefits within an overall strategy to promote academic integrity in an institution. Little attention has been paid to obtaining student perceptions to evaluate the cost/benefit of using such methods. This study reports on the evaluation of a trial of Turnitin software. 728 students…