Preference-based decision making for personalised access to Learning Resources

This article addresses the selection of Learning Resources (LRs; learning material, learning activities, etc.) through a preference-based decision-making framework. We consider the case where a set of LRs are maintained within a digital repository and are described in a common format (e.g. through learning technologies specifications and standards). We present a preference-based decision-making framework for selecting among these LRs according to the profile of each individual learner, thus facilitating personalised access to LRs. We argue that the proposed framework overcomes some of the problems caused by the rule-based approaches which are usually employed to facilitate adaptation and personalisation, in general. Copyright © 2008 Inderscience Enterprises Ltd.