Paper Info
Title
Adaptive Learning Using an Integration of Competence Model with Knowledge Space Theory
Abstract
A model for the interactions in an assessment to support learning identifies the need for response options and for contingent feedback, both of which pose problems when computer-aided. Apart from the difficulties of allowing arbitrary student responses, of judging them for correctness or error, and of providing appropriate specific and contingent feedback, explicitly identifying a range of options or alternatives from which a student may make selections remains an unsolved research problem. The "Knowledge Space Theory (KST)" model of the domain "problems" provides some opportunity for response options. The "Competence Based Assessment (COMBA)" model of the required knowledge provides some opportunity for relevant feedback. The paper explores ComKoS, a model which integrates both approaches. We propose to apply ComKoS and IMS QTI in Moodle to instantiate the design and development of one kind of adaptive testing system. This implementation overcomes limitations in adaptability, interoperability, portability, and reusability. Key benefits of this implementation are identified and possibilities suggestion for future work is provided.
Year
DOI
Venue
2013
10.1109/IIAI-AAI.2013.15
Advanced Applied Informatics
Keywords
Field
DocType
possibilities suggestion,relevant feedback,future work,ims qti,key benefit,contingent feedback,adaptive testing system,adaptive learning,knowledge space theory,response option,competence model,arbitrary student response,e assessment,competence,computer adaptive test
Adaptability,Computer science,Interoperability,Correctness,Knowledge management,Human–computer interaction,Software portability,Computerized adaptive testing,Adaptive learning,Knowledge space theory,Reusability
Conference
ISBN
Citations 
PageRank 
978-1-4799-2134-8
3
0.48
References 
Authors
4
3
Name
Order
Citations
PageRank
Onjira Sitthisak1183.19
Lester Gilbert213219.24
Dietrich Albert343063.65