Analysis and Evaluation of Distance Learning Students’ Performance using MATLAB Fuzzy Logic Tool in Ethiopia

Abstract

Nowadays, students are learning and developing their skills through internet by using educational videos and e-books which are very relevant in enhancing their learning skills, especially those who are working professionals and they have no time to join regular classes. In developing countries like Ethiopia, the trend of distance learning is very much increasing with the help of the internet. Students enroll in institutes of distance education mode, and expect things like knowledge sharing, teaching learning process, and more awareness in their favor from the institute. There are seven factors: Homework, Quiz, Middle Examination, Final Examination, Video lessons, Read E- books, and Virtual Class Attendance that very much affect distance learning. In this paper we will analyze and evaluate the distance learning students’ performance in Ethiopia. The paper presents the analysis and simulation with Fuzzy rules using Fuzzy Inference System (FIS) MATLAB tool to measure students educational performance accurately. We gathered the data of students and used seven parameters which enhance accuracy, flexibility and credibility as compared to using only one limited parameter. At last, results are validated by using Fuzzy Inference System with MATLAB Fuzzy tool