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Semi-automatic generation of learning domain modules for technology supported learning systems

In a time when Technology Supported Learning Systems are being widely used, there is a lack of tools that allows their development in an automatic or semi-automatic way. Technology Supported Learning Systems require an appropriate Domain Module, ie. the pedagogical representation of the domain to be...

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Idioma: English
English
Publicación: Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua 2013
Materia:
technology supported learning systems
domain module
semiautomatic knowledge acquisition
Acceso electrónico: http://hdl.handle.net/10810/10147
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id addi-10810-10147
recordtype addi
spelling addi-10810-101472017-04-07T12:59:23Zcom_10810_12140Tesis Doctoralescom_10810_91INVESTIGACIÓNcol_10810_12144TD-Ingeniería y Arquitectura Semi-automatic generation of learning domain modules for technology supported learning systems Larrañaga Olagaray, Miguel Elorriaga Arandia, Jon Ander Arruarte Lasa, Ana Jesús Lenguajes y Sistemas Informáticos/Hizkuntza eta Sistema Informatikoak technology supported learning systems domain module semiautomatic knowledge acquisition In a time when Technology Supported Learning Systems are being widely used, there is a lack of tools that allows their development in an automatic or semi-automatic way. Technology Supported Learning Systems require an appropriate Domain Module, ie. the pedagogical representation of the domain to be mastered, in order to be effective. However, content authoring is a time and effort consuming task, therefore, efforts in automatising the Domain Module acquisition are necessary.Traditionally, textbooks have been used as the main mechanism to maintain and transmit the knowledge of a certain subject or domain. Textbooks have been authored by domain experts who have organised the contents in a means that facilitate understanding and learning, considering pedagogical issues.Given that textbooks are appropriate sources of information, they can be used to facilitate the development of the Domain Module allowing the identification of the topics to be mastered and the pedagogical relationships among them, as well as the extraction of Learning Objects, ie. meaningful fragments of the textbook with educational purpose.Consequently, in this work DOM-Sortze, a framework for the semi-automatic construction of Domain Modules from electronic textbooks, has been developed. DOM-Sortze uses NLP techniques, heuristic reasoning and ontologies to fulfill its work. DOM-Sortze has been designed and developed with the aim of automatising the development of the Domain Module, regardless of the subject, promoting the knowledge reuse and facilitating the collaboration of the users during the process. 2013-05-27T13:36:34Z 2013-05-27T13:36:34Z 2012-12-20 2012-12-20 2013-05-27T06:24:41Z 2012-12-20 info:eu-repo/semantics/doctoralThesis 978-84-9860-781-9 D.L. BI-164-2013 http://hdl.handle.net/10810/10147 5822 3622 eng en info:eu-repo/semantics/openAccess (c) MIGUEL LARRAÑAGA OLAGARAY, 2012 Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua
external_data_source Addi
institution Digital
collection Addi
language English
English
topic technology supported learning systems
domain module
semiautomatic knowledge acquisition
spellingShingle technology supported learning systems
domain module
semiautomatic knowledge acquisition
Larrañaga Olagaray, Miguel
Semi-automatic generation of learning domain modules for technology supported learning systems
description In a time when Technology Supported Learning Systems are being widely used, there is a lack of tools that allows their development in an automatic or semi-automatic way. Technology Supported Learning Systems require an appropriate Domain Module, ie. the pedagogical representation of the domain to be mastered, in order to be effective. However, content authoring is a time and effort consuming task, therefore, efforts in automatising the Domain Module acquisition are necessary.Traditionally, textbooks have been used as the main mechanism to maintain and transmit the knowledge of a certain subject or domain. Textbooks have been authored by domain experts who have organised the contents in a means that facilitate understanding and learning, considering pedagogical issues.Given that textbooks are appropriate sources of information, they can be used to facilitate the development of the Domain Module allowing the identification of the topics to be mastered and the pedagogical relationships among them, as well as the extraction of Learning Objects, ie. meaningful fragments of the textbook with educational purpose.Consequently, in this work DOM-Sortze, a framework for the semi-automatic construction of Domain Modules from electronic textbooks, has been developed. DOM-Sortze uses NLP techniques, heuristic reasoning and ontologies to fulfill its work. DOM-Sortze has been designed and developed with the aim of automatising the development of the Domain Module, regardless of the subject, promoting the knowledge reuse and facilitating the collaboration of the users during the process.
author_additional Elorriaga Arandia, Jon Ander
author Larrañaga Olagaray, Miguel
title Semi-automatic generation of learning domain modules for technology supported learning systems
title_short Semi-automatic generation of learning domain modules for technology supported learning systems
title_full Semi-automatic generation of learning domain modules for technology supported learning systems
title_fullStr Semi-automatic generation of learning domain modules for technology supported learning systems
title_full_unstemmed Semi-automatic generation of learning domain modules for technology supported learning systems
title_sort semi-automatic generation of learning domain modules for technology supported learning systems
publisher Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua
publishDate 2013
url http://hdl.handle.net/10810/10147
_version_ 1735862617168150528

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