A Study of Student Learning Skills Using Fuzzy Relation Equations
Michael Gr. Voskoglou

TL;DR
This paper explores how fuzzy relation equations can model and analyze student learning processes, providing classroom examples and insights into learning derivatives.
Contribution
It introduces the application of fuzzy relation equations to study student learning, offering a novel mathematical approach in educational analysis.
Findings
Fuzzy relation equations effectively model learning processes.
Application to derivative learning demonstrates practical utility.
Provides useful conclusions for educational strategies.
Abstract
Fuzzy relation equations (FRE)are associated with the composition of binary fuzzy relations. In the present work FRE are used as a tool for studying the process of learning a new subject matter by a student class. A classroom application and other csuitable examples connected to the student learning of the derivative are also presented illustrating our results and useful conclusions are obtained.
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Taxonomy
TopicsFuzzy Logic and Control Systems · Artificial Intelligence in Games · AI-based Problem Solving and Planning
