Descriptive evaluation of students using fuzzy approximate reasoning
Mohsen Annabestani, Alireza Rowhanimanesh, Aylar Mizani, Akram Rezaei

TL;DR
This paper introduces a fuzzy logic-based evaluation system for students that improves fairness and reduces errors compared to traditional four-valued logic methods, with practical implementation in educational settings.
Contribution
It proposes a novel fuzzy descriptive evaluation system that replaces four-valued logic with infinite-valued fuzzy logic for more accurate student assessment.
Findings
Fuzzy evaluation provides more nuanced student assessments.
The system can be implemented via a smartphone app for ease of use.
Simulation in MATLAB validates the proposed method.
Abstract
In recent years, descriptive evaluation has been introduced as a new model for educational evaluation of Iranian students. The current descriptive evaluation method is based on four-valued logic. Assessing all students with only four values is led to a lack of relative justice and the creation of unrealistic equality. Also, the complexity of the evaluation process in the current method increases teacher errors likelihood. As a suitable solution, in this paper, a fuzzy descriptive evaluation system has been proposed. The proposed method is based on fuzzy logic, which is an infinite-valued logic and it can perform approximate reasoning on natural language propositions. By the proposed fuzzy system, student assessment is performed over the school year with infinite values instead of four values. But to eliminate the diversity of assigned values to students, at the end of the school year,…
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Taxonomy
TopicsEducational Technology and Assessment · Intelligent Tutoring Systems and Adaptive Learning · Online Learning and Analytics
