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Title:
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ITERATIVE SEARCH OF COMPOSITE LEARNING OBJECTS |
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Author(s):
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Alda Lopes Gançarski , Amel Bouzeghoub , Bruno Defude , Claire Lecocq |
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ISBN:
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978-972-8924-44-7 |
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Editors:
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Pedro Isaías , Miguel Baptista Nunes and João Barroso (associate editors Luís Rodrigues and Patrícia Barbosa) |
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Year:
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2007 |
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Edition:
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V II, 2 |
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Keywords:
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Composite learning objects, iterative search |
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Type:
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Short Paper |
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First Page:
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8 |
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Last Page:
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12 |
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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 article concerns the search and composition of learning objects (resources) that are available in the Web. Resources
may be reused to compose new ones. As there are more and more collections of such objects, more sophisticated search
and reuse techniques are needed. We assume that learning objects are structured, i.e. composed of other objects. We
propose, in this paper, an iterative search paradigm where the user navigates over the structure of the learning objects and
chooses the interesting ones to compose his/her own objects. To achieve this goal, the user has access to intermediate
results of the navigational search. Our proposal is based on a query language that we informally describe here. |
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