Some Ideas for a Collaborative Search of the Optimal Learning Path
Identifieur interne : 001F49 ( Main/Exploration ); précédent : 001F48; suivant : 001F50Some Ideas for a Collaborative Search of the Optimal Learning Path
Auteurs : Sergio Gutiérrez Santos [Espagne] ; Abelardo Pardo [Espagne] ; Carlos Delgado Kloos [Espagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: One of the challenges of adaptive hypermedia educational (AHE) systems is that of adapting the sequencing of learning units presented to the student. One approach is to model the set of possible sequencings with a graph, but the process of designing and maintaining the graph may be tedious and error-prone. This paper presents some ideas to overcome this, inpired by swarm intelligence techniques. Problems that may arise, as well as possible solutions, are presented.
Url:
DOI: 10.1007/11768012_64
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: One of the challenges of adaptive hypermedia educational (AHE) systems is that of adapting the sequencing of learning units presented to the student. One approach is to model the set of possible sequencings with a graph, but the process of designing and maintaining the graph may be tedious and error-prone. This paper presents some ideas to overcome this, inpired by swarm intelligence techniques. Problems that may arise, as well as possible solutions, are presented.</div>
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