Student Knowledge Evaluation System: a case of application of Fuzzy logic in Intelligent Education

Abstract

Intelligent education systems have gained significant attention for their potential to improve student learning outcomes. In this paper, we propose a novel Student Knowledge Evaluation System that harnesses the power of fuzzy logic in the domain of intelligent education. By applying fuzzy logic principles, our system aims to provide a dynamic evaluation experience across various domains and enables more nuanced feedback. Through a comprehensive review of related works, we highlight the benefit of application of fuzzy logic in Intelligent education. We present equally the frontend and backend features of our system, including dynamic quizzes and the evaluation algorithm. Although further research is required to validate the system's effectiveness, our preliminary findings suggest its potential to enhance the accuracy and fairness of student knowledge assessment opening new avenues for personalized and adaptive learning experiences.