Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Bayesian Statistics | 2 |
| Design | 2 |
| Probability | 2 |
| Educational Assessment | 1 |
| Educational Games | 1 |
| Evidence Based Practice | 1 |
| Markov Processes | 1 |
| Models | 1 |
| Monte Carlo Methods | 1 |
| Networks | 1 |
| Physics | 1 |
| More ▼ | |
Author
| Almond, Russell G. | 2 |
| Hemat, Lisa A. | 1 |
| Kim, Yoon Jeon | 1 |
| Mulder, Joris | 1 |
| Shute, Valerie J. | 1 |
| Yan, Duanli | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkKim, Yoon Jeon; Almond, Russell G.; Shute, Valerie J. – International Journal of Testing, 2016
Game-based assessment (GBA) is a specific use of educational games that employs game activities to elicit evidence for educationally valuable skills and knowledge. While this approach can provide individualized and diagnostic information about students, the design and development of assessment mechanics for a GBA is a nontrivial task. In this…
Descriptors: Design, Evidence Based Practice, Test Construction, Physics
Download full textAlmond, Russell G.; Mulder, Joris; Hemat, Lisa A.; Yan, Duanli – ETS Research Report Series, 2006
Bayesian network models offer a large degree of flexibility for modeling dependence among observables (item outcome variables) from the same task that may be dependent. This paper explores four design patterns for modeling locally dependent observations from the same task: (1) No context--Ignore dependence among observables; (2) Compensatory…
Descriptors: Bayesian Statistics, Networks, Models, Design
