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.
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.
|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
|Date Deposited:||18 May 2009 17:15|
|Last Modified:||27 Mar 2014 20:13|
|Further Information:||Google Scholar|
|ISI Citation Count:||0|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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