Computational Models of Learner’s Interaction in Collaborative Learning

Abstract

Current efforts on Computer Support Collaborative Learning (CSCL) include the design of computational models of collaborative learning interaction such as to improve support guidance to human participation. However, during collaborative learning activities, the interaction process among learners is too complex and it is difficult for teachers or designers to analyze and measure learning effects. Computational models of collaborative learning interaction have been known as a method that provide functional computer-based representations to help educators understand, explain, and identify patterns of group behavior and hence support group learning processes. The aim of this paper is to give an overview on three computational models of learner’s interaction and support possibilities afforded by the various types of computational models of collaborative learning processes. This paper demonstrates how these models can be used to study the nature of interaction patterns within collaborative learning in e-learning