Recommendation of learning objects in an ubiquitous learning environment through an agent-based approach

Abstract

An ubiquitous learning environment provides students with a teaching method that would be not possible to be performed in a conventional web-based course. The use of learning objects in a standard way consists of an effective way to allow, among other features, content reuse and interoperability between different Learning Management Systems (LMS). Thus, these contents can be reassembled to create new content. However, a problem that occurs frequently is the unsuitability of the content to the context in which the student is inserted. A context-aware ubiquitous learning support environment allows students participating in this kind of course to receive content that suits their needs (available physical resources, preferences, geographic location, learning styles etc.). Thus, this paper presents an agent-based approach to context-aware recommendation of learning objects in order to enhance the learning process in ubiquitous learning. © 2012 Springer-Verlag.