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

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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]
Copyright of Electronic Journal of e-Learning is the property of Academic Conferences & Publishing International Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Using Conceptual Lattices to Represent Fine Granular Learning Objects through SCORM Meta-Objects.
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  Data: <searchLink fieldCode="JN" term="%22Electronic+Journal+of+e-Learning%22">Electronic Journal of e-Learning</searchLink>. 2006, Vol. 4 Issue 3, p141-148. 8p.
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  Data: *<searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Education%22">Education</searchLink><br />*<searchLink fieldCode="DE" term="%22Students%22">Students</searchLink><br /><searchLink fieldCode="DE" term="%22Lattice+theory%22">Lattice theory</searchLink><br /><searchLink fieldCode="DE" term="%22Architecture%22">Architecture</searchLink>
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  Data: 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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  Data: <i>Copyright of Electronic Journal of e-Learning is the property of Academic Conferences & Publishing International Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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