Adaptive learning based on variable student and domain models in Magadi

Magadi is an online multidomain agent based adaptive educational environment developed on the conceptual results obtained in the IRIS system. In this paper, we propose the extension of Magadi by including a teacher model and the possibility of using different student and domain views. Besides, a mechanism to adaptively select the planning rules to be used in the generation of the student adapted learning paths is provided.