Methods for adaptivity in intelligent web-based learning systems

There are two main methods for implementing adaptivity in intelligent web-based learning systems: adaptive presentation (or content-level adaptation) and adaptive navigation support (or link-level adaptation). In the systems that use an adaptive presentation method, the content of an adaptive hyperm...

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Main Authors: Pramudya Ananta, Gede, Basiron, Halizah, Abdullah, Tajul Arfiifn
Format: Conference or Workshop Item
Language:en
Published: 2012
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/6464/1/adaptivity.pdf
http://eprints.utem.edu.my/id/eprint/6464/
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author Pramudya Ananta, Gede
Basiron, Halizah
Abdullah, Tajul Arfiifn
author_facet Pramudya Ananta, Gede
Basiron, Halizah
Abdullah, Tajul Arfiifn
author_sort Pramudya Ananta, Gede
building UTEM Library
collection Institutional Repository
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
continent Asia
country Malaysia
description There are two main methods for implementing adaptivity in intelligent web-based learning systems: adaptive presentation (or content-level adaptation) and adaptive navigation support (or link-level adaptation). In the systems that use an adaptive presentation method, the content of an adaptive hypermedia page is generated or assembled from pieces according to the user’s background and knowledge state. In such the page, narrowed and detailed deep information (in forms of multimedia or text) is provided for advanced users, while broader and less deep additional explanation is provided for novices. Adaptive navigation support is a method of helping users to find their paths of learning in hypermedia systems by adapting the way of presenting links to goals, knowledge, and preferences of individual users. It consists of all methods of altering visible links to support hyperspace navigation. Some technologies were distinguished from the points of view according to the way they adapt presentation of links: direct guidance, link sorting, link hiding, link annotation, link generation, and map adaptation. Based on recent research and applications, this simple taxonomy is developed further.
format Conference or Workshop Item
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institution Universiti Teknikal Malaysia Melaka
language en
publishDate 2012
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spelling my.utem.eprints-64642023-06-26T08:20:08Z http://eprints.utem.edu.my/id/eprint/6464/ Methods for adaptivity in intelligent web-based learning systems Pramudya Ananta, Gede Basiron, Halizah Abdullah, Tajul Arfiifn QA75 Electronic computers. Computer science There are two main methods for implementing adaptivity in intelligent web-based learning systems: adaptive presentation (or content-level adaptation) and adaptive navigation support (or link-level adaptation). In the systems that use an adaptive presentation method, the content of an adaptive hypermedia page is generated or assembled from pieces according to the user’s background and knowledge state. In such the page, narrowed and detailed deep information (in forms of multimedia or text) is provided for advanced users, while broader and less deep additional explanation is provided for novices. Adaptive navigation support is a method of helping users to find their paths of learning in hypermedia systems by adapting the way of presenting links to goals, knowledge, and preferences of individual users. It consists of all methods of altering visible links to support hyperspace navigation. Some technologies were distinguished from the points of view according to the way they adapt presentation of links: direct guidance, link sorting, link hiding, link annotation, link generation, and map adaptation. Based on recent research and applications, this simple taxonomy is developed further. 2012-09 Conference or Workshop Item NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/6464/1/adaptivity.pdf Pramudya Ananta, Gede and Basiron, Halizah and Abdullah, Tajul Arfiifn (2012) Methods for adaptivity in intelligent web-based learning systems. In: International Conference on Active Learning (ICAL2012), UTeM.
spellingShingle QA75 Electronic computers. Computer science
Pramudya Ananta, Gede
Basiron, Halizah
Abdullah, Tajul Arfiifn
Methods for adaptivity in intelligent web-based learning systems
title Methods for adaptivity in intelligent web-based learning systems
title_full Methods for adaptivity in intelligent web-based learning systems
title_fullStr Methods for adaptivity in intelligent web-based learning systems
title_full_unstemmed Methods for adaptivity in intelligent web-based learning systems
title_short Methods for adaptivity in intelligent web-based learning systems
title_sort methods for adaptivity in intelligent web-based learning systems
topic QA75 Electronic computers. Computer science
url http://eprints.utem.edu.my/id/eprint/6464/1/adaptivity.pdf
http://eprints.utem.edu.my/id/eprint/6464/
url_provider http://eprints.utem.edu.my/