Towards a Competence based System for Recommending Study Materials (CBSR)
Towards a Competence based System for Recommending Study Materials (CBSR)
Most e-learning systems require intervention from a teacher. The development of adaptive hypermedia systems, such as intelligent tutoring systems, aimed to reduce the teachers’ task. However, such systems are still at risk of inconsistently modelling the user when estimating a learner’s knowledge level. We propose a system called CBSR (Competence based System for Recommending Study Materials) which recommends appropriate study materials from the Web without requiring teacher intervention, based upon a competency model. This has the benefit of an improved pedagogical approach to e-learning, and a more consistent profile of learners’ competences which can persist though their life.
Nitchot, Athitaya
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Gilbert, Lester
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Wills, Gary
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5 July 2010
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
(2010)
Towards a Competence based System for Recommending Study Materials (CBSR).
The 10th IEEE International Conference on Advanced Learning Technologies, Sousse, Tunisia.
05 - 07 Jul 2010.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Most e-learning systems require intervention from a teacher. The development of adaptive hypermedia systems, such as intelligent tutoring systems, aimed to reduce the teachers’ task. However, such systems are still at risk of inconsistently modelling the user when estimating a learner’s knowledge level. We propose a system called CBSR (Competence based System for Recommending Study Materials) which recommends appropriate study materials from the Web without requiring teacher intervention, based upon a competency model. This has the benefit of an improved pedagogical approach to e-learning, and a more consistent profile of learners’ competences which can persist though their life.
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Published date: 5 July 2010
Additional Information:
Event Dates: 5 - 7 July 2010
Venue - Dates:
The 10th IEEE International Conference on Advanced Learning Technologies, Sousse, Tunisia, 2010-07-05 - 2010-07-07
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 270881
URI: http://eprints.soton.ac.uk/id/eprint/270881
PURE UUID: f9dbca6e-3844-4c7e-9e61-9a1b72b1db29
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Date deposited: 21 Apr 2010 09:50
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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