Intelligent E-Learning Platform: A Fuzzy Logic-Based Adaptive Approach
Pallavi Dwivedi, Sanchita Bindu, Subho Upadhyay · 2023
This study suggests an efficient adaptive online learning system that makes use of a triangular membership function to display the student's conceptual understanding in a selected topic area. The level of understanding for each topic in the field is evaluated using a fuzzy logic system, which also generates feedback based on student performance to address any gaps in comprehension. To assess the learner's conceptual understanding, the system collects data through an initial pre-test before using the learning system, followed by a post-test and a practical exam. The aim of this research is to showcase the enhancement of student performance and comprehension through an innovative and personalized e-learning system.