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An approach for automatic generation of adaptive hypermedia in education with multilingual knowledge discovery techniques

Alfonseca, Enrique ; Rodríguez, Pilar ; Pérez, Diana

Computers and education, 2007-09, Vol.49 (2), p.495-513 [Periódico revisado por pares]

Elsevier Ltd

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Título:
An approach for automatic generation of adaptive hypermedia in education with multilingual knowledge discovery techniques
Autor: Alfonseca, Enrique ; Rodríguez, Pilar ; Pérez, Diana
Assuntos: Architectures for educational technology system ; Artificial Intelligence ; Authoring tools and methods ; Computer Assisted Instruction ; Computer Software ; Educational Technology ; Experiments ; Feedback ; Hypermedia ; Information Systems ; Information Technology ; Internet ; Multilingual Materials ; Multilingualism ; Multimedia/hypermedia systems ; Natural Language Processing ; Online Systems ; Textbooks ; Use Studies ; Web Sites
É parte de: Computers and education, 2007-09, Vol.49 (2), p.495-513
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
Descrição: This work describes a framework that combines techniques from Adaptive Hypermedia and Natural Language processing in order to create, in a fully automated way, on-line information systems from linear texts in electronic format, such as textbooks. The process is divided into two steps: an off-line processing step, which analyses the source text, and an on-line step, which executes when a user connects to the system with a web browser, moment at which the contents and hyperlinks are generated. The framework has been implemented as the W elkin system, which has been used to build three adaptive on-line information sites in a quick and easy way. Some controlled experiments have been performed with real users aimed to provide positive feedback on the implementation of the system.
Editor: Elsevier Ltd
Idioma: Inglês

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An approach for automatic generation of adaptive hypermedia in education with multilingual knowledge discovery techniques

Alfonseca, Enrique ; Rodríguez, Pilar ; Pérez, Diana

Elsevier Ltd

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