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 students` performance. 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.

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Improvement of the Teaching Process Using the Genetic Algorithm

  • Goran Šimić,
  • Aleksandar Jevremović,
  • Danilo Strugarević

摘要

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 students` performance. 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.