This paper investigates basic research issues that need to be addressed for developing an architecture that enables repurposing of learning objects in a flexible way. Currently, there are a number of Learning Object Content Models (e.g. the SCORM Content Aggregation Model) that define learning objects and their components in a more or less precise way. However, these models do not allow repurposing of fine-grained components (sentences, images…). We developed an ontology-based solution for content repurposing. The ontology is a solid basis for an architecture that will enable on-the-fly access to learning object components and that will facilitate repurposing these components.
%0 Conference Paper
%1 verbertetalontology05
%A Verbert, Katrien
%A Gasevic, Erik Duval Dragan
%B WWW2005
%D 2005
%K prolearn
%T Ontology-based learning content repurposing
%U http://www2005.org/cdrom/docs/p1140.pdf
%X This paper investigates basic research issues that need to be addressed for developing an architecture that enables repurposing of learning objects in a flexible way. Currently, there are a number of Learning Object Content Models (e.g. the SCORM Content Aggregation Model) that define learning objects and their components in a more or less precise way. However, these models do not allow repurposing of fine-grained components (sentences, images…). We developed an ontology-based solution for content repurposing. The ontology is a solid basis for an architecture that will enable on-the-fly access to learning object components and that will facilitate repurposing these components.
@inproceedings{verbertetalontology05,
abstract = {This paper investigates basic research issues that need to be addressed for developing an architecture that enables repurposing of learning objects in a flexible way. Currently, there are a number of Learning Object Content Models (e.g. the SCORM Content Aggregation Model) that define learning objects and their components in a more or less precise way. However, these models do not allow repurposing of fine-grained components (sentences, images…). We developed an ontology-based solution for content repurposing. The ontology is a solid basis for an architecture that will enable on-the-fly access to learning object components and that will facilitate repurposing these components.},
added-at = {2006-05-31T17:38:26.000+0200},
author = {Verbert, Katrien and Gasevic, Erik Duval Dragan},
biburl = {https://www.bibsonomy.org/bibtex/2b7c99d24a9c9671284685765418e89f8/prolearn},
booktitle = {WWW2005},
description = {Prolearn Publication},
interhash = {26560ba6a554538b6467045a596813c7},
intrahash = {b7c99d24a9c9671284685765418e89f8},
keywords = {prolearn},
location = {Tokyo, Japan},
month = May,
timestamp = {2006-05-31T17:38:26.000+0200},
title = {Ontology-based learning content repurposing},
url = {http://www2005.org/cdrom/docs/p1140.pdf},
year = 2005
}