THE EFFECT OF APPLYING DATA MINING TECHNIQUES (FUZZY-C MODEL) TO INVESTIGATE THE PERFORMANCE OF LIBYAN STUDENTS DURING USING E-LEARNING PLATFORM

Abstract

This research study presents a methodology to investigate the performance of learners in Libyan universities using e-learning platform based on data-mining algorithms and extract the challenges which act as barriers to improve performance of learner through e-learning platforms. Investigating these issues, data-mining technical is introduced. Clustering based fuzzy algorithm is applied to two data groups related to five groups of learners (two groups are neglecting) the three groups of data consist of (committed, non- committed, active) students, The number of learner visits to the platforms is measured, it was 4247, and after clean processing the samples it is reduced to 1288. The clean stage removed the hits which are formed from using the search-engine. Results showed that the non-committed learners had the smallest size this due to many factors such as the difficulty to use platforms for some learners, also there is the poor network connection. We could see that data-mining tools are effectively ways to investigating the problems in e-learning improvement.