CRESST ONR/NETC Meetings, 17-18 July 2003, v1 17 July, 2003 ONR Advanced Distributed Learning ONR Advanced Distributed Learning Greg Chung Bill Bewley UCLA/CRESST Ontologies and Bayesian Networks in Assessment 2003 Regents of the University of California
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CRESST ONR/NETC Meetings, 17-18 July 2003, v1 17 July, 2003 ONR Advanced Distributed Learning Greg Chung Bill Bewley UCLA/CRESST Ontologies and Bayesian.
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• How do you link information from assessments to individualized instructional recommendations in a DL context?– Content is going online– Assessments are going online– Couple content and assessment
CRESST ONR/NETC Meetings, 17-18 July 2003, v1 3
OntologiesOntologies
• An ontology is a conceptual representation of a domain expressed in terms of concepts and the relationships among the concepts– Support knowledge capture, representation, sharing– Fielded technology
• Medical, engineering, e-commerce, military…• Development tools and APIs available today (e.g.,
Protégé)• Support rapid development and testing of
prototypes
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Bayesian NetworksBayesian Networks
• Graphical modeling of the causal structure of a phenomenon in terms of nodes and relations– Nodes represent states, links represent the
influence relations– Supports fusion of observable data (e.g.,
“correct on item 1”) into high-level hypotheses (e.g., “understands breath control”)
– Fielded technology• Development tools available (HUGIN,
MSBNx)• ONR-funded research
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Assessment Application ExampleAssessment Application Example