An Architecture to Support Adaptive E-Learning

Abstract

E-learning technology is currently pushed by several factors. Among these, the advantage of computer-based courses of sharing and reusing existing teacher materials, in addition to the possibility of personalizing courses according to students needs, preferences and capabilities. To provide such features, in this paper we introduce an architecture organized into four layers: a database layer to store, share and reuse courses and teaching materials, an adaption layer which allow personalized courses generation, a presentation layer that arrange personalized courses into learning paths, and an interface layer to develop several learning interfaces (e.g. for use via web or mobile devices). The architecture is presented, then we focus on its personalization capabilities by presenting details of how courses are actually tailored and attended by students. Key words: