A NEURAL NETWORK-BASED METHOD IN COMPUTER-SUPPORTED COLLABORATIVE LEARNING SYSTEMS

Abstract

Nobody can cast doubt on the fact that the advent of computer-supported collaborative learning (CSCL) has made a great revolution in educational systems. The first phase in CSCL is creating different learning groups with compatible members. It is a key factor because having a prosperous collaboration depend on having compatible team-mates to do their tasks collaboratively. Although, a great number of studies in the literature reported several methods for assigning students to fitting groups all of them are bereft of offering a completely independent and intelligent system. This contribution suggests a neural-network grouping method in order to enhance speed, simplification, and correctness of group composition. Extensive experiments and evaluation illustrate the success of our method and students are more satisfied and seize high knowledge levels when they are grouped via the proposed method.