Purpose – This paper aims to explore the feasibility of using web-mining technology on learning object (LO) usage information to discover the LO relation pattern and provide valuable recommendations on related learning resources.
Design/methodology/approach – 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 web-mining technology on the usage data, it is possible to discover valuable relation patterns.
Originality/value – The authors propose a set of LO relation patterns and indicate how they are closely related to users' learning behaviour.
Posted by
Peter Suber at 4/26/2008 09:42:00 AM.
The open access movement:
Putting peer-reviewed scientific and scholarly literature
on the internet. Making it available free of charge and
free of most copyright and licensing restrictions.
Removing the barriers to serious research.
I recommend the OA tracking project (OATP) as the best way to stay on top of new OA developments. You can read the OATP feed on a blog-like web page or subscribe to it by RSS, email, or Twitter. You can also help build the feed by tagging new developments you encounter.
