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Dynamic Bayesian Network Modeling of Game-Based Diagnostic Assessments
Roy Levy
Social and Family Dynamics, T. Denny Sanford School of (SSFD)
Child and Family Success, Center for
Teachers College, Mary Lou Fulton (MLFTC)
Liberal Arts and Sciences, College of (CLAS)
Research output
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Contribution to journal
›
Article
›
peer-review
19
Scopus citations
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Dive into the research topics of 'Dynamic Bayesian Network Modeling of Game-Based Diagnostic Assessments'. Together they form a unique fingerprint.
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Mathematics
Dynamic Bayesian Networks
100%
Video Games
97%
Network Modeling
79%
Bayesian Modeling
72%
Diagnostics
53%
Game
43%
Misconceptions
36%
Skills
31%
Calibration
29%
Bayesian Approach
26%
Drawing
26%
Observation
17%
Modeling
17%
Context
16%
Performance
15%
Model
8%
Educational Games
8%
Arts & Humanities
Video Games
69%
Bayesian Networks
66%
Diagnostics
50%
Modeling
45%
Education
32%
Calibration
27%
Misconceptions
27%
Inference
22%
Performance
10%
Social Sciences
diagnostic assessment
75%
computer game
35%
diagnostic
30%
student
13%
performance
8%
Medicine & Life Sciences
Video Games
47%
Students
37%
Bayes Theorem
22%
Calibration
18%
Data Analysis
13%