skip to main page content CETIS: Click here to return to the homepage
the centre for educational technology interoperability standards

skip over the long navigation bar
Press centre

Inside Cetis
what is Cetis?
Contact us
Cetis staff
Jobs at CETIS


XML: Click here to get the news as an RSS XML file XML: Click here to get the news as an Atom XML file iCAL: Click here to get the events as an iCalendar file

what are learning technology standards?
who's involved?
who's doing what?

CETIS Groups
what are cetis groups?
what difference can they make?
Assessment SIG
Educational Content SIG
Enterprise SIG
Metadata SIG
Life Long Learning Group
Portfolio SIG
Accessibility Group
Pedagogy Forum
Developer's forum

Accessibility (310)
Assessment (74)
Content (283)
Metadata (195)
Pedagogy (34)
Profile (138)
Tools (197)
For Developers (569)
For Educators (344)
For Managers (339)
For Members (584)
SCORM (118)
AICC (18)
CEN (34)
DCMI (36)
EML (47)
IEEE (79)
IMS (302)
ISO (21)
OAI (24)
OKI (20)
W3C (37)

print this article (opens in new window) view printer-friendly version (opens in new window)

Lancaster team present evaluation engine for e-learning resource brokerage platform.

A team from the Department of Communication systems at Lancaster University developed an evaluation engine that helps rank e-learning resources in the "Universal Brokerage Platform for Learning Resources".

What the engine does is present users of the brokerage's resources with a two level, adaptive questionnaire that is tailored to specific roles. So a student would be asked to rate a resource on things like content, interactivity characteristics, presentation and user satisfaction, while a tutor might be queried about general quality related issues and examination data. The data that is collected in this way can then be extracted in a variety of ways and used to select resources. There is also an alert function to keep resource vendors aware of any quality issues.

The evaluation engine is currently in use at the The UNIVERSAL Brokerage Platform for Learning Resources, a European service that aims to become a very large learning object repository. The core of that system is a metadata engine that works with a modified version of IEEE LOM, Dublin Core and Vcard, which is stored in a XML:RDF repository. Parallel representations are to be kept in IEEE LOM, IMS and SCORM compliant formats.

More details on the evaluation engine are outlined in a paper at Educational Technology & Society.

Related items:


Creative Commons License This work is licensed under a Creative Commons License.

syndication |publisher's statement |contact us |privacy policy

 go to start of page content