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ERIC Number: ED555714
Record Type: Non-Journal
Publication Date: 2014-Jan
Pages: 32
Abstractor: As Provided
Reference Count: 38
ISBN: N/A
ISSN: N/A
Dynamic Bayesian Network Modeling of Game Based Diagnostic Assessments. CRESST Report 837
Levy, Roy
National Center for Research on Evaluation, Standards, and Student Testing (CRESST)
Digital games offer an appealing environment for assessing student proficiencies, including skills and misconceptions in a diagnostic setting. This paper proposes a dynamic Bayesian network modeling approach for observations of student performance from an educational video game. A Bayesian approach to model construction, calibration, and use in facilitating inferences about students on the fly is described.
National Center for Research on Evaluation, Standards, and Student Testing (CRESST). 300 Charles E Young Drive N, GSE&IS Building 3rd Floor, Mailbox 951522, Los Angeles, CA 90095-1522. Tel: 310-206-1532; Fax: 310-825-3883; Web site: http://www.cresst.org
Publication Type: Reports - Descriptive
Education Level: Grade 6; Intermediate Grades; Middle Schools; Elementary Education; Grade 7; Junior High Schools; Secondary Education; Grade 8
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: National Center for Research on Evaluation, Standards, and Student Testing