Research Article
Improvement of the Teaching Process Using the Genetic Algorithm
@INPROCEEDINGS{10.1007/978-3-031-72393-3_7, author={Goran Šimić and Aleksandar Jevremović and Danilo Strugarević}, title={Improvement of the Teaching Process Using the Genetic Algorithm}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 8th EAI International Conference, FABULOUS 2024, Zagreb, Croatia, May 9--10, 2024, Proceedings}, proceedings_a={FABULOUS}, year={2024}, month={10}, keywords={Genetic algorithm e-learning Conceptual framework Students` performance Higher education}, doi={10.1007/978-3-031-72393-3_7} }- Goran Šimić
Aleksandar Jevremović
Danilo Strugarević
Year: 2024
Improvement of the Teaching Process Using the Genetic Algorithm
FABULOUS
Springer
DOI: 10.1007/978-3-031-72393-3_7
Abstract
Teaching is a process that requires permanent observation and improvement. With the rapid development of e-learning, there was a need to review, improve and optimize the process of evaluating students’ performance. The main objective of this study is to develop and implement the procedure for automatized generation of assessment tests. For this purpose, the proposed solution includes the application of a genetic algorithm. The procedure is developed on a sample of 29 existing test cases of “Internet programming” course. The optimization resulted in better selection and reduced number of questions used for evaluation of studentsperformance. The results of the study and the topicality of the issue point to the need for further research, both in the aspect of students performance assessment, as well as in other aspects of higher education.
