Affordances of machine-processable competency modelling
Affordances of machine-processable competency modelling
Existing e-learning competency standards such as the IMS Reusable Definition of Competency or Educational Objective (IMS RDCEO) specification and the HR-XML standard are not able to accommodate the level of a competency described separately from its narrative description; the grading scale of a competency; the success threshold of a competency; or the structure of competency trees or hierarchies. The proposed competency model addresses these problems and reflects all relevant features of the learner’s behaviour and their knowledge, skills, and attitudes that affect their learning and performance. Statements of competency are machine-readable. Machine processing can offer interoperable and reusable resources and applications that are pedagogically effective for e-learning and assessment. A competency statement which can be read, processed, and interpreted by machine contributes to the automatic generation of questions, distractors, and question sequences, and offers a semantic structure for further processing.
Sitthisak, Onjira
8aec992e-9fcc-47d1-947f-78aa271db3c6
Gilbert, Lester
a593729a-9941-4b0a-bb10-1be61673b741
2009
Sitthisak, Onjira
8aec992e-9fcc-47d1-947f-78aa271db3c6
Gilbert, Lester
a593729a-9941-4b0a-bb10-1be61673b741
Sitthisak, Onjira and Gilbert, Lester
(2009)
Affordances of machine-processable competency modelling.
Conference Cognition and Exploratory Learning in Digital Age, Rome, Italy.
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Conference or Workshop Item
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Abstract
Existing e-learning competency standards such as the IMS Reusable Definition of Competency or Educational Objective (IMS RDCEO) specification and the HR-XML standard are not able to accommodate the level of a competency described separately from its narrative description; the grading scale of a competency; the success threshold of a competency; or the structure of competency trees or hierarchies. The proposed competency model addresses these problems and reflects all relevant features of the learner’s behaviour and their knowledge, skills, and attitudes that affect their learning and performance. Statements of competency are machine-readable. Machine processing can offer interoperable and reusable resources and applications that are pedagogically effective for e-learning and assessment. A competency statement which can be read, processed, and interpreted by machine contributes to the automatic generation of questions, distractors, and question sequences, and offers a semantic structure for further processing.
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AFFORDANCES_OF_MACHINE-PROCESSABLE_COMPETENCY_MODELLING_revised_final_version_2pages.doc
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Published date: 2009
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Event Dates: 2009
Venue - Dates:
Conference Cognition and Exploratory Learning in Digital Age, Rome, Italy, 2009-01-01
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 268229
URI: http://eprints.soton.ac.uk/id/eprint/268229
PURE UUID: 993f9327-f184-4a0c-887d-03198bf272a4
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Date deposited: 17 Nov 2009 09:51
Last modified: 14 Mar 2024 09:06
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Contributors
Author:
Onjira Sitthisak
Author:
Lester Gilbert
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