Competence Web-based System for Suggesting Study Materials Links: Approach & Experimental Design
Competence Web-based System for Suggesting Study Materials Links: Approach & Experimental Design
Web-based education is used for enhancing learning and teaching activities by allowing the learner to have more opportunities for exploration. However, most e-learning and web-based educational systems could incur the problem of high development costs and the need to have the study materials well constructed. If the content or any information of knowledge changes, then the system is required to be updated. The aim of this paper is to propose an approach to designing a system, so that a learner can find appropriate study materials on the Web without any interaction from the teacher. The system generates different learning paths from the learner’s competence. This process uses a competence structure, to identify a range and relationship of competence elements/nodes for a particular knowledge domain. By embedding a structure of competence in our system, it allows many learners to learn from the same knowledge domain without requiring the knowledge content to be updated. The system uses the learner’s competences to generate different learning paths and from the chosen learning path, it is produced appropriate keywords to be used by a search engine in order to suggest appropriate study materials from the Web. We have designed an experimental study to test whether a learning mode provided by our system is better than a learning mode by freely browsing. More improvement in learning of participants is expected to be seen in the competence-based learning mode. The paper explores what this means for students and teachers and suggests some further work.
Nitchot, Athitaya
8b119236-5865-4dd8-b92b-5eb75adbb8e1
Gilbert, Lester
a593729a-9941-4b0a-bb10-1be61673b741
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
2012
Nitchot, Athitaya
8b119236-5865-4dd8-b92b-5eb75adbb8e1
Gilbert, Lester
a593729a-9941-4b0a-bb10-1be61673b741
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Nitchot, Athitaya, Gilbert, Lester and Wills, Gary
(2012)
Competence Web-based System for Suggesting Study Materials Links: Approach & Experimental Design.
EdMedia 2012 - World Conference on Educational Media and Technology, Denver, United States.
26 - 29 Jun 2012.
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Conference or Workshop Item
(Paper)
Abstract
Web-based education is used for enhancing learning and teaching activities by allowing the learner to have more opportunities for exploration. However, most e-learning and web-based educational systems could incur the problem of high development costs and the need to have the study materials well constructed. If the content or any information of knowledge changes, then the system is required to be updated. The aim of this paper is to propose an approach to designing a system, so that a learner can find appropriate study materials on the Web without any interaction from the teacher. The system generates different learning paths from the learner’s competence. This process uses a competence structure, to identify a range and relationship of competence elements/nodes for a particular knowledge domain. By embedding a structure of competence in our system, it allows many learners to learn from the same knowledge domain without requiring the knowledge content to be updated. The system uses the learner’s competences to generate different learning paths and from the chosen learning path, it is produced appropriate keywords to be used by a search engine in order to suggest appropriate study materials from the Web. We have designed an experimental study to test whether a learning mode provided by our system is better than a learning mode by freely browsing. More improvement in learning of participants is expected to be seen in the competence-based learning mode. The paper explores what this means for students and teachers and suggests some further work.
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Published date: 2012
Venue - Dates:
EdMedia 2012 - World Conference on Educational Media and Technology, Denver, United States, 2012-06-26 - 2012-06-29
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 273141
URI: http://eprints.soton.ac.uk/id/eprint/273141
PURE UUID: 5ba3ed5b-e8cb-451f-b2dc-249867c8d465
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Date deposited: 25 Jan 2012 10:12
Last modified: 15 Mar 2024 02:51
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Contributors
Author:
Athitaya Nitchot
Author:
Lester Gilbert
Author:
Gary Wills
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