Automated Plagiarism Detection in CAD Modelling Courses: Categorisation of Academic Misconduct

Proficiency in creating three-dimensional (3D) models using computer-aided design (CAD) software is essential for engineering students. However, plagiarism in CADmodelling assessments is a growing concern in engineering education, as most detection tools are developed for text-based submissions. This paper introduces an automated plagiarism detection tool designed for CAD assignments on the SOLIDWORKS platform (Dassault Systèmes). Results demonstrate that the tool enhances detection performance compared to existing solutions, improving efficiency and accuracy in identifying potential cases of plagiarism. While it streamlines the detection process, human judgment remains crucial for resolving ambiguous cases. Additionally, false positives can slow the review process, and recommendations are made for refining algorithms to improve reliability and accuracy.