Ranking Reusable Learning Objects With Rough Sets Based Methods

摘要

Many educational institutions collaborate for developing joint bachelor, master and PhD programs. Quite often in the process of completing learning materials, included in an intelligent tutoring system f. ex. they have to choose among different learning objects developed by different teams and originally intended to be presented to different type of students. In order to be effective this process should involve both content providers and IT experts. The objective of this paper is to show how a rough set theory based approach can facilitate the process of ranking available learning objects.