Models for an Intelligent Context-Aware Blended m-Learning System

Abstract

System requirements for an intelligent, mobile blended learning environment (m-Learning) have been elicited. Theories of ontology modelling are developed. A context-aware adaption engine using explicit and implicit knowledge of the student profile model are proposed. The context in which learning occurs is shown to be represented by a set of functions that are contextually dependent on learning modelled as a multi connected ontology. The evaluated prototype implementation is a partially context aware m-Learning presentation system. It is concluded that the m-learning environment is beneficial to programme outcomes, mainly for students who learn according to the heutagogical model. Further work is underway to capture m-Learning requirements better suited to students employing the pedagogic learning model.