Using Conceptual Lattices to Represent Fine Granular Learning Objects through SCORM Meta-Objects.

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Bibliographic Details
Title:	Using Conceptual Lattices to Represent Fine Granular Learning Objects through SCORM Meta-Objects.
Authors:	Silva, Luciano¹ lucianosilva@mackenzie.br, Mustaro, Pollyana N.¹ polly@mackenzie.br, Stringhini, Denise¹ dstring@mackenzie.br, Silveira, Ismar F.¹ ismar@mackenzie.br
Source:	Electronic Journal of e-Learning. 2006, Vol. 4 Issue 3, p141-148. 8p.
Subject Terms:	Learning, Education, *Students, Lattice theory, Architecture
Abstract:	Ideally, learning resources should be built over a shared pool of fine reusable granular learning objects. However, in order to avoid contextual lacks, dynamic creation of such resources would mostly rely on the conceptual relationships among learning objects inside a repository. These conceptual relationships, as well as the learning objects creation, are best established if students' learning styles are considered. Common standards like Sharable Content Object Reference Model (SCORM) do not have tools to provide conceptual relationships among fine granular learning objects. This paper presents a conceptual lattice-based architecture for using SCORM to provide an effective mapping of conceptual relationships among learning objects. [ABSTRACT FROM AUTHOR]
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Database:	Education Research Complete

Description
Abstract:	Ideally, learning resources should be built over a shared pool of fine reusable granular learning objects. However, in order to avoid contextual lacks, dynamic creation of such resources would mostly rely on the conceptual relationships among learning objects inside a repository. These conceptual relationships, as well as the learning objects creation, are best established if students' learning styles are considered. Common standards like Sharable Content Object Reference Model (SCORM) do not have tools to provide conceptual relationships among fine granular learning objects. This paper presents a conceptual lattice-based architecture for using SCORM to provide an effective mapping of conceptual relationships among learning objects. [ABSTRACT FROM AUTHOR]
ISSN:	14794403