The University of Southampton
University of Southampton Institutional Repository

A competence-based system for recommending study materials from the Web

Nitchot, Athitaya (2012) A competence-based system for recommending study materials from the Web University of Southampton, Faculty of Physical and Applied Sciences, Doctoral Thesis , 235pp.

Record type: Thesis (Doctoral)

Abstract

Adaptive hypermedia systems, such as intelligent tutoring systems, aim to reduce reliance upon a teacher. However, such systems have some drawbacks such as inconsistency when estimating a learner?s knowledge level, and a lack of a pedagogically informed approach to teaching and learning. These drawbacks may be addressed by a competency model. Such a model has the benefits of an improved pedagogical approach to e-learning and a more consistent profile of learners? competences. Such a model also renders competences machine processable, sharable, and modifiable.

The aim of this research is to investigate and design a competence-based system which provides appropriate study materials from the Web to the learner without any intervention from the teacher. Each step within the system for deriving the study material links from the learners? competences is described in detail.

A competence structure is designed from a set of intended learning outcomes. An XML-schema represents the information within a competence structure to support machine processing.

Experiments were carried out to evaluate the competence-based system for recommending links by considering the learner?s reaction, by comparing the learning improvement between the competence-based approach and other approaches, and by exploring the effects of search engines used and keywords on the search results.

From these experiments, some conclusions have been drawn, such as: learning paths with more nodes are more helpful, and Web links of a competence node with a lower level of Bloom?s taxonomy showed higher ratings than those with a higher level of Bloom?s taxonomy. In addition, a competence-based system is accepted by learners at the reaction level. A freely-browsing and a competence-based system produced equal improvements in learners? learning. Different types of search engines (Google and Google API) and categories of keywords (SM and CA+SM+CO) show no significant differences between the qualities of study material links in helping learners achieve their competences. Furthermore, the links from Google were found to be as good as those from an educational search engine.

Some future work is suggested, for example, more exploration of a complex competence structure and learning paths, improvements on the usability and accessibility of the application, and more in-depth consideration of self-assessment

PDF AthitayaThesisCorrections.pdf - Other
Download (29MB)

More information

Published date: June 2012
Organisations: University of Southampton, Electronics & Computer Science

Identifiers

Local EPrints ID: 340619
URI: http://eprints.soton.ac.uk/id/eprint/340619
PURE UUID: 48e254bd-7016-497d-b9f0-3b9b5b0fcc6f
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 04 Oct 2012 14:56
Last modified: 18 Jul 2017 05:42

Export record

Contributors

Author: Athitaya Nitchot
Thesis advisor: Gary Wills ORCID iD
Thesis advisor: Lester Gilbert

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×