Authors:
Erla Morales
and
Francisco García
Affiliation:
Salamanca University, Spain
Keyword(s):
Knowledge management, decision support systems, learning objects
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Group Decision Support Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Web Information Systems and Technologies
Abstract:
In today’s world, reusable learning object concepts and standards for their treatment represent an advantage for knowledge management systems to whatever kind of business that supports an on-line system. Users are able to manage and reuse content according to their needs without interoperability problems. The possibility of importing learning objects for e-learning aim to increase their information repository but the learning object quality is not guaranteed. This work proposes a system to manage quality learning objects to support teachers to select the best content to structure their course. To achieve this we suggest two subsystems: First, an importation, normalization and evaluation subsystem; and second, a selection, delivery and post evaluation subsystem.