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, 392-405.

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Description/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.

Item Type: Article
Keywords: Competency, Assessment, Knowledge level, Ontology
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Electronic & Software Systems
ePrint ID: 267379
Date Deposited: 18 May 2009 17:15
Last Modified: 27 Mar 2014 20:13
Publisher: Springer-Verlag Berlin Heidelberg
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/267379

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