An Adaptive System for Retrieval and Composition of Learning Objects
This paper proposes a new approach to automatic retrieval and composition of Learning Objects (LOs) in an Adaptive Educational Hypermedia System (AEHS) using multidimensional learner characteristics to enhance learning effectiveness. The approach focuses on adaptive techniques in four components of...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wuwongse, Vilas [verfasserIn] Yoosooka, Burasakorn [author] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2011 |
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| Schlagwörter: |
Adaptive Educational Hypermedia Systems Automatic Composition of Learning Objects |
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| Umfang: |
Online-Ressource |
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| Reproduktion: |
IGI Global InfoSci Journals Archive 2000 - 2012 |
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| Übergeordnetes Werk: |
In: International journal of systems and service-oriented engineering - Hershey, Pa : IGI Global, 2010, 2(2011), 4, Seite 42-59 |
| Übergeordnetes Werk: |
volume:2 ; year:2011 ; number:4 ; pages:42-59 |
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| DOI / URN: |
10.4018/jssoe.2011100103 |
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| 520 | |a This paper proposes a new approach to automatic retrieval and composition of Learning Objects (LOs) in an Adaptive Educational Hypermedia System (AEHS) using multidimensional learner characteristics to enhance learning effectiveness. The approach focuses on adaptive techniques in four components of AEHS: Learning Paths, LO Retrieval, LO Sequencing, and Examination Difficulty Levels. This approach has been designed to enable the adaptation of rules to become generic. Hence, the application to various domains is possible. The approach dynamically selects, sequences, and composes LOs into an individual learning package based on the use of domain ontology, learner profiles, and LO metadata. The Sharable Content Object Reference Model is employed to represent LO metadata and learning packages in order to support LO sharing. The IMS Learner Information Package Specification is used to represent learner profiles. A preliminary evaluation of the developed system indicates the system’s effectiveness in terms of learners’ satisfaction | ||
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10.4018/jssoe.2011100103 doi (DE-627)NLEJ244503079 (VZGNL)10.4018/jssoe.2011100103 DE-627 ger DE-627 rakwb eng Wuwongse, Vilas verfasserin aut An Adaptive System for Retrieval and Composition of Learning Objects 2011 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes a new approach to automatic retrieval and composition of Learning Objects (LOs) in an Adaptive Educational Hypermedia System (AEHS) using multidimensional learner characteristics to enhance learning effectiveness. The approach focuses on adaptive techniques in four components of AEHS: Learning Paths, LO Retrieval, LO Sequencing, and Examination Difficulty Levels. This approach has been designed to enable the adaptation of rules to become generic. Hence, the application to various domains is possible. The approach dynamically selects, sequences, and composes LOs into an individual learning package based on the use of domain ontology, learner profiles, and LO metadata. The Sharable Content Object Reference Model is employed to represent LO metadata and learning packages in order to support LO sharing. The IMS Learner Information Package Specification is used to represent learner profiles. A preliminary evaluation of the developed system indicates the system’s effectiveness in terms of learners’ satisfaction IGI Global InfoSci Journals Archive 2000 - 2012 Adaptive Educational Hypermedia Systems Automatic Composition of Learning Objects Personalized E-Learning Sharable Content Object Reference Model Web-Based E-Learning Yoosooka, Burasakorn author aut In International journal of systems and service-oriented engineering Hershey, Pa : IGI Global, 2010 2(2011), 4, Seite 42-59 Online-Ressource (DE-627)NLEJ244419558 (DE-600)2703819-1 1947-3060 nnns volume:2 year:2011 number:4 pages:42-59 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jssoe.2011100103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jssoe.2011100103&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 2 2011 4 42-59 |
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10.4018/jssoe.2011100103 doi (DE-627)NLEJ244503079 (VZGNL)10.4018/jssoe.2011100103 DE-627 ger DE-627 rakwb eng Wuwongse, Vilas verfasserin aut An Adaptive System for Retrieval and Composition of Learning Objects 2011 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes a new approach to automatic retrieval and composition of Learning Objects (LOs) in an Adaptive Educational Hypermedia System (AEHS) using multidimensional learner characteristics to enhance learning effectiveness. The approach focuses on adaptive techniques in four components of AEHS: Learning Paths, LO Retrieval, LO Sequencing, and Examination Difficulty Levels. This approach has been designed to enable the adaptation of rules to become generic. Hence, the application to various domains is possible. The approach dynamically selects, sequences, and composes LOs into an individual learning package based on the use of domain ontology, learner profiles, and LO metadata. The Sharable Content Object Reference Model is employed to represent LO metadata and learning packages in order to support LO sharing. The IMS Learner Information Package Specification is used to represent learner profiles. A preliminary evaluation of the developed system indicates the system’s effectiveness in terms of learners’ satisfaction IGI Global InfoSci Journals Archive 2000 - 2012 Adaptive Educational Hypermedia Systems Automatic Composition of Learning Objects Personalized E-Learning Sharable Content Object Reference Model Web-Based E-Learning Yoosooka, Burasakorn author aut In International journal of systems and service-oriented engineering Hershey, Pa : IGI Global, 2010 2(2011), 4, Seite 42-59 Online-Ressource (DE-627)NLEJ244419558 (DE-600)2703819-1 1947-3060 nnns volume:2 year:2011 number:4 pages:42-59 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jssoe.2011100103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jssoe.2011100103&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 2 2011 4 42-59 |
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10.4018/jssoe.2011100103 doi (DE-627)NLEJ244503079 (VZGNL)10.4018/jssoe.2011100103 DE-627 ger DE-627 rakwb eng Wuwongse, Vilas verfasserin aut An Adaptive System for Retrieval and Composition of Learning Objects 2011 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes a new approach to automatic retrieval and composition of Learning Objects (LOs) in an Adaptive Educational Hypermedia System (AEHS) using multidimensional learner characteristics to enhance learning effectiveness. The approach focuses on adaptive techniques in four components of AEHS: Learning Paths, LO Retrieval, LO Sequencing, and Examination Difficulty Levels. This approach has been designed to enable the adaptation of rules to become generic. Hence, the application to various domains is possible. The approach dynamically selects, sequences, and composes LOs into an individual learning package based on the use of domain ontology, learner profiles, and LO metadata. The Sharable Content Object Reference Model is employed to represent LO metadata and learning packages in order to support LO sharing. The IMS Learner Information Package Specification is used to represent learner profiles. A preliminary evaluation of the developed system indicates the system’s effectiveness in terms of learners’ satisfaction IGI Global InfoSci Journals Archive 2000 - 2012 Adaptive Educational Hypermedia Systems Automatic Composition of Learning Objects Personalized E-Learning Sharable Content Object Reference Model Web-Based E-Learning Yoosooka, Burasakorn author aut In International journal of systems and service-oriented engineering Hershey, Pa : IGI Global, 2010 2(2011), 4, Seite 42-59 Online-Ressource (DE-627)NLEJ244419558 (DE-600)2703819-1 1947-3060 nnns volume:2 year:2011 number:4 pages:42-59 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jssoe.2011100103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jssoe.2011100103&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 2 2011 4 42-59 |
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An Adaptive System for Retrieval and Composition of Learning Objects |
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This paper proposes a new approach to automatic retrieval and composition of Learning Objects (LOs) in an Adaptive Educational Hypermedia System (AEHS) using multidimensional learner characteristics to enhance learning effectiveness. The approach focuses on adaptive techniques in four components of AEHS: Learning Paths, LO Retrieval, LO Sequencing, and Examination Difficulty Levels. This approach has been designed to enable the adaptation of rules to become generic. Hence, the application to various domains is possible. The approach dynamically selects, sequences, and composes LOs into an individual learning package based on the use of domain ontology, learner profiles, and LO metadata. The Sharable Content Object Reference Model is employed to represent LO metadata and learning packages in order to support LO sharing. The IMS Learner Information Package Specification is used to represent learner profiles. A preliminary evaluation of the developed system indicates the system’s effectiveness in terms of learners’ satisfaction |
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This paper proposes a new approach to automatic retrieval and composition of Learning Objects (LOs) in an Adaptive Educational Hypermedia System (AEHS) using multidimensional learner characteristics to enhance learning effectiveness. The approach focuses on adaptive techniques in four components of AEHS: Learning Paths, LO Retrieval, LO Sequencing, and Examination Difficulty Levels. This approach has been designed to enable the adaptation of rules to become generic. Hence, the application to various domains is possible. The approach dynamically selects, sequences, and composes LOs into an individual learning package based on the use of domain ontology, learner profiles, and LO metadata. The Sharable Content Object Reference Model is employed to represent LO metadata and learning packages in order to support LO sharing. The IMS Learner Information Package Specification is used to represent learner profiles. A preliminary evaluation of the developed system indicates the system’s effectiveness in terms of learners’ satisfaction |
| abstract_unstemmed |
This paper proposes a new approach to automatic retrieval and composition of Learning Objects (LOs) in an Adaptive Educational Hypermedia System (AEHS) using multidimensional learner characteristics to enhance learning effectiveness. The approach focuses on adaptive techniques in four components of AEHS: Learning Paths, LO Retrieval, LO Sequencing, and Examination Difficulty Levels. This approach has been designed to enable the adaptation of rules to become generic. Hence, the application to various domains is possible. The approach dynamically selects, sequences, and composes LOs into an individual learning package based on the use of domain ontology, learner profiles, and LO metadata. The Sharable Content Object Reference Model is employed to represent LO metadata and learning packages in order to support LO sharing. The IMS Learner Information Package Specification is used to represent learner profiles. A preliminary evaluation of the developed system indicates the system’s effectiveness in terms of learners’ satisfaction |
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An Adaptive System for Retrieval and Composition of Learning Objects |
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Yoosooka, Burasakorn |
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10.4018/jssoe.2011100103 |
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2024-07-06T08:06:49.932Z |
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The approach focuses on adaptive techniques in four components of AEHS: Learning Paths, LO Retrieval, LO Sequencing, and Examination Difficulty Levels. This approach has been designed to enable the adaptation of rules to become generic. Hence, the application to various domains is possible. The approach dynamically selects, sequences, and composes LOs into an individual learning package based on the use of domain ontology, learner profiles, and LO metadata. The Sharable Content Object Reference Model is employed to represent LO metadata and learning packages in order to support LO sharing. The IMS Learner Information Package Specification is used to represent learner profiles. 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