Personalised reusability metric for learning objects

This paper proposed a personalised metric to measure reusability of learning objects. The personalised reusability metric (PRM) is a hybrid of existing metrics based on learning object’s properties and user’s preference. The learning object’s properties is calculated using the metadata of the learning object, whereas the user’s preference is calculated using the past download records of the user. A prototype system is developed to measure PRM for a set of test learning objects and users. The results are compared against the reusability measures that are not personalised, which showed that PRM can produced a more personalised score for a learning object for different users.