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Towards a Competence based System for Recommending Study Materials (CBSR)

Record type: Conference or Workshop Item (Paper)

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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Citation

Nitchot, Athitaya, Gilbert, Lester and Wills, Gary (2010) Towards a Competence based System for Recommending Study Materials (CBSR) At The 10th IEEE International Conference on Advanced Learning Technologies, Tunisia. 05 - 07 Jul 2010.

More information

Published date: 5 July 2010
Additional Information: Event Dates: 5 - 7 July 2010
Venue - Dates: The 10th IEEE International Conference on Advanced Learning Technologies, 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
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 21 Apr 2010 09:50
Last modified: 18 Jul 2017 06:50

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Contributors

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

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