eLORM learning object relationship miningbased repository

• Published in: Online information review Vol. 32; no. 2; pp. 254 - 265
• Main Authors: Ouyang, Yang, Zhu, Miaoliang
• Format: Journal Article
• Language: English
• Published: Emerald Group Publishing Limited 11.04.2008
• Subjects: Elearning; Information retrieval; Worldwide web
• ISSN: 1468-4527
• DOI: 10.1108/14684520810879863

Purpose This paper aims to explore the feasibility of using webmining technology on learning object LO usage information to discover the LO relation pattern and provide valuable recommendations on related learning resources. Designmethodologyapproach This paper proposes three kinds of learning object relation patterns and gives a specific definition of each pattern based on analysing the learners' usage data stored in the learning object repository. These relation patterns can be used to make effective recommendations to learners. Findings LO usage data indicate the potential relation patterns between LOs. By using webmining technology on the usage data, it is possible to discover valuable relation patterns. Originalityvalue The authors propose a set of LO relation patterns and indicate how they are closely related to users' learning behaviour.