Innovative Application of Matlab Grader in Addressing Plagiarism and Assessing Partially Correct Answers in Engineering Education

This paper explores the use of Matlab Grader as an educational tool in technical subjects. It proposes some novel, machine learning based methods to mitigate plagiarism in coursework assignments and evaluate partially correct answers in technical examinations. Focusing on the engineering modules delivered on Masters Level, this study delves into the challenges faced and the inventive solutions devised to tackle these issues. The discussion focuses on the utilization of text comparison techniques, particularly the application of the Jaccard method, to assess similarity in student submissions and determine appropriate grading for answers lacking a definitive final solution. Preliminary findings indicate promising results, suggesting the potential for further exploration and refinement of these methodologies in educational assessment.