Analogous content selection mechanism using device profile and content profile for U-Learning environments

Abstract

There are a lot of learning contents, that have the same contexts which are targeted specific devices, under circumstances in which diverse devices support a 'U-Learning environment'. But the current methods selecting adequate contents have little flexibility.So, this paper we propose an analogy matched contents selection(AMCS) method which can find similar contents even though there are no exactly matched features of a learner's device. Also, our research shows that our technique is at most two times more efficient than existing techniques.