Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
In Pursuit of Patterns in Data Reasoning from Data The Rough Set Way
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Cooperative Learning Objects in an Intelligent Web-Based Tutoring System
AICT-SAPIR-ELETE '05 Proceedings of the Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop
Creating a Reusable Learning Objects Strategy: Leveraging Information and Learning in a Knowledge Economy
Technologies for enabling the sharing of Learning Objects
International Journal of Advanced Media and Communication
Development of intelligent reusable learning objects for web-based education systems
Expert Systems with Applications: An International Journal
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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.