Providing personalised recommendations in a Web-based education system

Abstract

Given the changing profile of learners, the continual need to enhance employee skills and the flexibility offered by online learning, web-based education has been afforded much attention in the past number of years. It is imperative that web-based education provides personalised learning (right information to the right people) and also addresses the feelings of isolation reported by many students who are learning without the traditional classroom environment. This paper presents details of a system which provides personalised intelligent recommendations on course content and peer-peer groups. We present an approach to combine different sources of information by utilising a number of approaches including information retrieval and collaborative filtering techniques.