A Softcomputing Approach for Predicting and Categorising Learner’s Performance Using Fuzzy Model

Abstract

Covid-19: a pandemic situation in the world gives a turning point to education system and it becomes e-education. E-learning is emerging trend in digital era and empowerment of this trend is necessary. Traditional education system trying to adopt this new method of teaching and learning. But only teaching and learning is not sufficient in education system. We have to focus on learner and the environmental impact on them. Traditional education system unable to resolve all the issues arises due to obstacles such as understanding ability, thinking, mood, concentration etc. Proposed research work focusing on designing, developing and modelling of soft computing decision making model for solving real life problems and learners capability in education system. This research work uses Fuzzy Inference System (FIS) which is one of the applications in MATLAB software, for analysing learners result from obtained score and other factors related to environment. It also predict the learner which is helpful in e-learning.