Abstract
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. Drawing from and advancing methods in dynamic Bayesian networks, cognitive diagnostic modeling, and analysis of process data, a Bayesian approach to model construction, calibration, and use in facilitating inferences about students on the fly is described, and implemented in the context of an educational video game.
| Original language | English (US) |
|---|---|
| Journal | Multivariate Behavioral Research |
| DOIs | |
| State | Published - Jan 1 2019 |
Fingerprint
Keywords
- diagnostic assessment
- Dynamic Bayesian network
- game-based assessment
ASJC Scopus subject areas
- Statistics and Probability
- Experimental and Cognitive Psychology
- Arts and Humanities (miscellaneous)
Cite this
Dynamic Bayesian Network Modeling of Game-Based Diagnostic Assessments. / Levy, Roy.
In: Multivariate Behavioral Research, 01.01.2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Dynamic Bayesian Network Modeling of Game-Based Diagnostic Assessments
AU - Levy, Roy
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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. Drawing from and advancing methods in dynamic Bayesian networks, cognitive diagnostic modeling, and analysis of process data, a Bayesian approach to model construction, calibration, and use in facilitating inferences about students on the fly is described, and implemented in the context of an educational video game.
AB - 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. Drawing from and advancing methods in dynamic Bayesian networks, cognitive diagnostic modeling, and analysis of process data, a Bayesian approach to model construction, calibration, and use in facilitating inferences about students on the fly is described, and implemented in the context of an educational video game.
KW - diagnostic assessment
KW - Dynamic Bayesian network
KW - game-based assessment
UR - http://www.scopus.com/inward/record.url?scp=85063880588&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063880588&partnerID=8YFLogxK
U2 - 10.1080/00273171.2019.1590794
DO - 10.1080/00273171.2019.1590794
M3 - Article
AN - SCOPUS:85063880588
JO - Multivariate Behavioral Research
JF - Multivariate Behavioral Research
SN - 0027-3171
ER -