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Transforming a competency model to parameterised questions in assessment

Sitthisak, Onjira, Gilbert, Lester and Davis, Hugh (2009) Transforming a competency model to parameterised questions in assessment WEBIST 2008, Lecture Notes in Business Information Processing, 18, pp. 392-405.

Record type: Article

Abstract

The problem of comparing and matching different learners’ knowledge arises when assessment systems use a one-dimensional numerical value to represent “knowledge level”. Such assessment systems may measure inconsistently because they estimate this level differently and inadequately. The multidimensional competency model called COMpetence-Based learner knowledge for personalized Assessment (COMBA) is being developed to represent a learner’s knowledge in a multi-dimensional vector space. The heart of this model is to treat knowledge, not as possession, but as a contextualized space of capability either actual or potential. The paper discusses a system for automatically generating questions from the COMBA competency model as a “guideon-the–side”. The system’s novel design and implementation involves an ontological database that represents the intended learning outcome to be assessed across a number of dimensions, including level of cognitive ability and subject matter. The system generates all the questions that are possible from a given learning outcome, which may then be used to test for understanding, and so could determine the degree to which learners actually acquire the desired knowledge.

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More information

Published date: 21 April 2009
Keywords: Competency, Assessment, Knowledge level, Ontology
Organisations: Web & Internet Science, Electronic & Software Systems

Identifiers

Local EPrints ID: 267379
URI: http://eprints.soton.ac.uk/id/eprint/267379
PURE UUID: 147c4a7d-5718-4d32-981f-79ade099d18e
ORCID for Hugh Davis: ORCID iD orcid.org/0000-0002-1182-1459

Catalogue record

Date deposited: 18 May 2009 17:15
Last modified: 18 Jul 2017 07:04

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Contributors

Author: Onjira Sitthisak
Author: Lester Gilbert
Author: Hugh Davis ORCID iD

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