A KNOWLEDGE METRIC WITH APPLICATIONS TO LEARNING ASSESSMENT

Rafik Braham

Abstract

We present a framework within which Knowledge is decomposed into basic elements called knowlets so that it can be quantified. Knowledge becomes then a measurable quantity in very much the same way data and information are known to be measurable quantities. An appropriate metric is thus defined and used in the specific domain of learning assessment. The proposed framework may be utilized for Knowledge acquisition in the context of ontology learning and population.

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Paper Citation


in Harvard Style

Braham R. (2010). A KNOWLEDGE METRIC WITH APPLICATIONS TO LEARNING ASSESSMENT . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010) ISBN 978-989-8425-29-4, pages 5-9. DOI: 10.5220/0003058800050009


in Bibtex Style

@conference{keod10,
author={Rafik Braham},
title={A KNOWLEDGE METRIC WITH APPLICATIONS TO LEARNING ASSESSMENT },
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)},
year={2010},
pages={5-9},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003058800050009},
isbn={978-989-8425-29-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)
TI - A KNOWLEDGE METRIC WITH APPLICATIONS TO LEARNING ASSESSMENT
SN - 978-989-8425-29-4
AU - Braham R.
PY - 2010
SP - 5
EP - 9
DO - 10.5220/0003058800050009