This article is a systematic review of work in the computing education literature on
plagiarism. The goal of the review is to summarize the main results found in the literature …

Source code plagiarism and collusion are continuing problems in academia. To deal with
these issues, lecturers are often aided by automated code similarity detection techniques or …

Artificial Intelligence (AI) can foster education but can also be misused to breach academic
integrity. Large language models like ChatGPT are able to generate solutions for individual …

This quantitative research study explores the external factors of plagiarism among university
students in Pakistan. Data were collected from Islamabad city-based university students …

Detecting instances of plagiarism in student homework, especially programming homework,
is an important issue for practitioners. In the past decades, several tools have emerged that …

In large undergraduate computer science classrooms, student learning on assignments is
often gauged only by the work on their final solution, not by their programming process. As a …

When using code similarity detection to uncover code plagiarism and collusion, the marker
needs to determine whether any detected similarities might be the result of coincidence. But …

Purpose–This paper aims to focus on plagiarism and the consequences of anti‐plagiarism
services such as Turnitin. com, iThenticate, and PlagiarismDetect. com in detecting the most …

When weekly programming assessments are used, it is often the case that some of them are
either trivial or strongly directed. Common code similarity detectors are not particularly …

An activity designed to actively introduce first year students to issues related to academic
misconduct is described. The activity involves computing students writing a short essay on a …