Search
 
loader loading subjects...
cover
An Open-ended Framework for Learning Object Metadata Interchange
Yuejun Zhang, Kinshuk, Taiyu Lin
950 - 953
Frontiers in Artificial Intelligence and Applications
Volume 133: Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences
Abstract

This paper presents a framework for the interchange of learning object (LO) metadata schemas and describes the prototype developed under this framework. The framework is open-ended and highly scalable because of the adoption of the proposed LOM-intermediated mapping scheme and dynamic-database approach. The prototype currently transforms metadata in XML format between IMS, EdNA, Dublin Core and LOM, but can be easily extended to incorporate other schemas due to the open-ended characteristics.

$35.00 / €27.50 / £22.00
Add PDF to cart