Defining and Supporting Personalized Learning Systems

Abstract

Personalized learning can take many forms. It can be individually driven or instructor driven. In either case, systems must be customized to the selected learning process. Such custornization can sometimes be onerous making systems difficult to use. This paper proposes a general support system for personalized learning to assist users to setup learning spaces that match the learning process. It combines collaborative systems, agent systems and learning models into an integrated environment to facilitate personalized learning. It describes software agents that can be used to provide such support. It first defines the various ways for supporting personalized learning. It then defines leaning spaces that must be set up to support these ways and how agents can be used to do so.