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Assistive tool for constructing knowledge structures and suggesting related study materials links

Assistive tool for constructing knowledge structures and suggesting related study materials links
Assistive tool for constructing knowledge structures and suggesting related study materials links

This research proposes a Web-based system for constructing knowledge structures and suggesting study materials links. Within Web-based learning, it is still difficult for learners to identify and choose study materials that match their current and desired abilities. In addition, learners may fail to recognize missing prerequisite learning, and may fail to identify the knowledge they seek. Most e-learning systems do not provide the information needed to assist learners and avoid these difficulties. We propose pedagogically-informed knowledge structures and associated applications, including a tool for designing and building such structures, a tool for navigating the structures for particular purposes (e.g., identifying knowledge missing from learners’ existing knowledge), and a tool for recommending appropriate materials. In this research the knowledge structures are derived from the subject matter within a targeted knowledge domain using task analysis. In this paper, a method of constructing a knowledge structure is proposed. An experimental study investigated users’ design and use of a knowledge structure. Learners will be expected to gain significantly higher levels of achievement by using the knowledge structures and associated tools proposed in this research, and educational communities will be able to share the knowledge structures and use the tools to support learners.

Knowledge representation, Knowledge structure, Self-study, Visualization, Web-based learning
1360-2357
1-12
Nitchot, Athitaya
8b119236-5865-4dd8-b92b-5eb75adbb8e1
Wettayaprasit, Wiphada
c9a9aa02-5b7d-47f3-93fe-a3a5d9615c11
Gilbert, Lester
a593729a-9941-4b0a-bb10-1be61673b741
Nitchot, Athitaya
8b119236-5865-4dd8-b92b-5eb75adbb8e1
Wettayaprasit, Wiphada
c9a9aa02-5b7d-47f3-93fe-a3a5d9615c11
Gilbert, Lester
a593729a-9941-4b0a-bb10-1be61673b741

Nitchot, Athitaya, Wettayaprasit, Wiphada and Gilbert, Lester (2018) Assistive tool for constructing knowledge structures and suggesting related study materials links. Education and Information Technologies, 1-12. (doi:10.1007/s10639-018-9762-y).

Record type: Article

Abstract

This research proposes a Web-based system for constructing knowledge structures and suggesting study materials links. Within Web-based learning, it is still difficult for learners to identify and choose study materials that match their current and desired abilities. In addition, learners may fail to recognize missing prerequisite learning, and may fail to identify the knowledge they seek. Most e-learning systems do not provide the information needed to assist learners and avoid these difficulties. We propose pedagogically-informed knowledge structures and associated applications, including a tool for designing and building such structures, a tool for navigating the structures for particular purposes (e.g., identifying knowledge missing from learners’ existing knowledge), and a tool for recommending appropriate materials. In this research the knowledge structures are derived from the subject matter within a targeted knowledge domain using task analysis. In this paper, a method of constructing a knowledge structure is proposed. An experimental study investigated users’ design and use of a knowledge structure. Learners will be expected to gain significantly higher levels of achievement by using the knowledge structures and associated tools proposed in this research, and educational communities will be able to share the knowledge structures and use the tools to support learners.

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More information

Accepted/In Press date: 13 June 2018
e-pub ahead of print date: 9 July 2018
Keywords: Knowledge representation, Knowledge structure, Self-study, Visualization, Web-based learning

Identifiers

Local EPrints ID: 422609
URI: http://eprints.soton.ac.uk/id/eprint/422609
ISSN: 1360-2357
PURE UUID: c8c579cd-374f-49f0-a883-09c043918190

Catalogue record

Date deposited: 26 Jul 2018 16:30
Last modified: 27 Apr 2022 08:28

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Contributors

Author: Athitaya Nitchot
Author: Wiphada Wettayaprasit
Author: Lester Gilbert

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