Personalised adult e-training on computer use based on multiple attribute decision making

Abstract

This paper examines the utility of a multiple attribute decision making method, the Simple Additive Weighting (SAW), for the purposes of an Intelligent Learning Environment (ILE) that provides adults with personalised e-learning. The ILE is called Web Intelligent Trainer and is meant to help novice users learn how to manipulate the file store of their personal computer. The generation of advice makes use of adaptive hypermedia techniques and is adapted to each individual learner's needs, depending on their knowledge level, age, habits and difficulties. SAW has been applied in the ILE and has been evaluated with respect to the performance of the ILE. As a result, SAW seems particularly appropriate for the ILE.