Name
Abstract | ||
|---|---|---|
We are using stealth assessment, embedded in Plants vs. Zombies 2, to measure middle-school students’ problem solving skills. This project started by developing a problem solving competency model based on a thorough review of the literature. Next, we identified relevant in-game indicators that would provide evidence about students’ levels on the various problem-solving facets. Our problem solving model was implemented in the game via Bayesian networks. To validate the stealth assessment, we ran a small pilot study to collect data from students who played our game-based assessment and completed an external problem solving measure (MicroDYN). Preliminary results indicate that problem solving estimates derived from the game significantly correlate with the external measure, suggesting that our stealth assessment is valid. Our next steps include running a larger validation study (in progress) and developing tools to help educators interpret the results of the assessment. |
Year | Venue | Field |
|---|---|---|
2015 | EDM | Data collection,Competence (human resources),Computer science,Bayesian network,Artificial intelligence,Bayesian statistics,Machine learning |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valerie J. Shute | 1 | 311 | 78.85 |
| Gregory R. Moore | 2 | 6 | 1.50 |
| Lubin Wang | 3 | 84 | 7.68 |