A Multi-Agent System Based on Activity Theory for Collaborative Network Learning

Abstract

Collaborative learning can effectively improve the learning efficiency of learners rather individual learning. Activity theory is a theoretical framework for analyzing human practices as developmental processes with both individual and social levels interlinked at the same time. Learn is a activity, in this paper, we analyze the composition of collaborative network learning activity including goals, subjects, objects , tools and rules. finally ,We design a multi-agent system for collaborative network learning , structure and function of every type agent are discussed.