The MATLAB Grader: Expanding Possibilities with Various Task Versions

2023 IEEE 64th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2023): Proceedings 2023
Māris Tērauds, Vladimirs Smoļaninovs

This paper deals with an automatic assessment system – MATLAB Grader. This system is for assigning problems for students, solving problems using MATLAB language, and giving automated grades. The drawback of the system is a lack of possibility to use various task versions. In this paper, we will solve this drawback and describe the way to provide various task versions for each task. We will use a random number generator inside each task and also provide a way to set a number of variants for each task variation and its assessment.

Keywords
Matlab; Grader; Matlab Grader; varied task version; task variants; multiple task versions; problem variations; diverse question sets; learning management system.
DOI
10.1109/RTUCON60080.2023.10413075
Hyperlink
https://ieeexplore.ieee.org/document/10413075

Tērauds, M., Smoļaninovs, V. The MATLAB Grader: Expanding Possibilities with Various Task Versions. In: 2023 IEEE 64th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2023): Proceedings, Latvia, Riga, 10-11 October, 2023. Piscataway: IEEE, 2023, pp.1-6. ISBN 979-8-3503-1774-9. e-ISBN 979-8-3503-1773-2. Available from: doi:10.1109/RTUCON60080.2023.10413075

Publication language
English (en)