Transforming a competency model to parameterised questions in assessment
Transforming a competency model to parameterised questions in assessment
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 “guide-on-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.
Competency, Assessment, Knowledge level, Ontology
392-405
Sitthisak, Onjira
8aec992e-9fcc-47d1-947f-78aa271db3c6
Gilbert, Lester
a593729a-9941-4b0a-bb10-1be61673b741
Davis, Hugh
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b
21 April 2009
Sitthisak, Onjira
8aec992e-9fcc-47d1-947f-78aa271db3c6
Gilbert, Lester
a593729a-9941-4b0a-bb10-1be61673b741
Davis, Hugh
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b
Sitthisak, Onjira, Gilbert, Lester and Davis, Hugh
(2009)
Transforming a competency model to parameterised questions in assessment.
Cordeiro, J., Hammoudi, S. and Filipe, J.
(eds.)
In Web Information Systems and Technologies: WEBIST 2008.
vol. 18,
Springer.
.
(doi:10.1007/978-3-642-01344-7_29).
Record type:
Conference or Workshop Item
(Paper)
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 “guide-on-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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Transforming_a_competency_model_to_parameterised_questions_in_assessment.pdf
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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
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Date deposited: 18 May 2009 17:15
Last modified: 16 Mar 2024 02:36
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Contributors
Author:
Onjira Sitthisak
Author:
Lester Gilbert
Author:
Hugh Davis
Editor:
J. Cordeiro
Editor:
S. Hammoudi
Editor:
J. Filipe
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