Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
