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Title:
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A FRAMEWORK FOR THE MODULAR COMPOSITION OF LEARNING OBJECTS |
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Author(s):
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Nicoletta Dessì , Barbara Pes |
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ISBN:
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972-8924-05-4 |
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Editors:
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Kinshuk, Demetrios Sampson and Pedro Isaías |
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Year:
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2005 |
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Edition:
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Single |
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Keywords:
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Composition and Sequencing of Learning Objects, XML, Intelligent Agents. |
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Type:
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Short Paper |
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First Page:
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409 |
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Last Page:
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414 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper describes a framework to support the modular composition of learning objects for achieving educational goals. The presented approach involves two modeling spaces: the semantic space of educational concepts and the digital space of learning objects. The framework abstracts the parallel features of both spaces for modeling conceptual skeletons, called views, that encapsulate learning objects as well as knowledge on how they can be sequenced. Each view is linked to a concept of the semantic space and is featured by metadata. In order to achieve modularity, portability and extensibility, views are mapped into an XML Schema, based on which they can be systematically implemented and managed by intelligent agents. |
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