A novel evaluation model based on fuzzy logic for distance learning

Abstract

Abstract Distance learning is an education model in which the educator and the student come together independently of time and place and the learning process is continued. Although it has positive aspects in terms of time and space, it has limitations such as weak interaction and poor functioning of evaluation processes. Assessment systems often include multiple-choice or open-ended questions. That is, in solving a given problem, the result is evaluated, and the student's actions can be ignored until he reaches the result. In this study, while evaluating the student’s performance, the student's behavior during the semester and the distractor weight coefficient for the multiple-choice exams were added, and the performance assessment was based on the wrong answers of the student. The proposed model was created based on fuzzy logic, and the uncertainties in the evaluation were attempted to be eliminated.