Table 1.
Overview of outcome measures
| Indicative of | Derived from | |
|---|---|---|
| Learning performance | ||
| Accuracy | Applied domain knowledge | Points are added for correct interventions executed in the game and subtracted for harmful interventions. To attain a high score, the player must demonstrate knowledge of the interventions that are and are not indicated for this patients’ condition |
| Speed (absolute) | Strength of cognitive strategies | Total time to scenario completion |
| Speed (relative) | Strength of cognitive strategies | The relative time it has taken the player to perform critical actions required for all scenarios: attaching the monitor, applying oxygen, and introducing oneself to the patient |
| Systematicity in approach a | Cognitive strategies – knowing how to approach an unfamiliar problem | Actions are labeled A, B, C, D, or E in chronological order. Using a Hidden Markov Model, a score ranging from 0 to 1 is calculated, indicating if the actions were performed in the appropriate order. The more the sequence resembles the correct order of A-B-C-D-E, the higher the score |
| Cognitive load | ||
| Paas’ mental effort scale | Questionnaire asking how much mental effort they invested in the task on a 1–9 scale, labeled from 1 = ‘very, very low mental effort’ to 9 = ‘very, very high mental effort’ | |
| Self-regulation | ||
| Self-monitoring | Number of times the player opens the checklist menu | |
| Help-seeking | Number of times the player calls a medical specialist using the in-game telephone | |
| Test performance | ||
| Immediate test performance | Live scenario-based skill assessment of the ABCDE approach | |
| Delayed test performance | Live scenario-based skill assessment of the ABCDE approach | |
| Game engagement | Questionnaire on participants’ experience using the game | |
aSystematicity was used as a learning performance outcome measure and as input for the adaptive scaffolding algorithm