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CRESST REPORT 837 DYNAMIC BAYESIAN NETWORK MODELING OF GAME BASED DIAGNOSTIC ASSESSMENTS JANUARY, 2014
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Document Date: 2014-01-15 18:48:07

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File Size: 1,05 MB

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City

Los Angeles / /

Company

Bayesian Networks / Introduction Games / /

Facility

Institute of Education Sciences / Information Studies University of California / University of Southern California / University of California / IS Bldg. / Roy Levy Arizona State University / /

IndustryTerm

assessment applications / correct solution / intelligent tutoring systems / /

Organization

Institute of Education Sciences / University of California / Los Angeles / University of California / Graduate School / National Center for Education Research / Center for Advanced Technology / Center for the Study of Evaluation / Arizona State University / University of Southern California / U.S. Department of Education / Game Innovation Lab / National Center for Research / /

Person

Roy Levy / Deirdre Kerr / Mark Hansen / Ron Dietel / /

Position

author / /

ProvinceOrState

Southern California / California / /

Region

Southern California / /

Technology

simulation / /

SocialTag