Abstract | ||
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This paper describes the evaluation of a computer game to support triage training. Triage is a process for decision-making that prioritises mass casualties in terms of treatment. The main aim of the research was to test the hypothesis that participants using the game for practice would perform better in terms of the accuracy in applying the triage protocol than a group that practised triage with a table-top exercise. The method of giving in-game formative feedback to the learner was modified within the trial programme and that provided the opportunity to investigate whether changing the complexity and timing of feedback affected learning transfer through performance measured in a realistic assessment activity. The results showed that the participants who practised using the game were significantly more accurate for certain measures of performance in applying the triage protocol. The participants that received a modified in-game feedback that reduced complexity and the delay in giving feedback were also significantly more accurate for certain measures of performance in triaging the casualties. These findings will require further experimentation to determine which attributes of the in-game feedback have the greatest impact on the learning of the triage protocol for the given learner group. |
Year | DOI | Venue |
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2009 | 10.1109/VS-GAMES.2009.31 | VS-GAMES |
Keywords | Field | DocType |
computer game,triage training,triage protocol,support triage training,in-game feedback,learner group,immersive learning programme,reduced complexity,modified in-game feedback,in-game formative feedback,certain measure,practised triage,evaluation,game theory,accuracy,games,media,protocols,prototypes,feedback,learning transfer,layout | Management training,Simulation,Computer science,Transfer of learning,Triage,Game theory,Multimedia,Mass Casualty,Formative assessment,Immersive learning | Conference |
ISBN | Citations | PageRank |
978-0-7695-3588-3 | 19 | 1.44 |
References | Authors | |
4 | 2 |
Name | Order | Citations | PageRank |
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Steve R. Jarvis | 1 | 33 | 4.01 |
Sara de Freitas | 2 | 826 | 78.50 |