Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: towards a cognitive science of language, inference, and consciousness
Proximities, networks, and schemata
Pathfinder associative networks
Collective behavior and team performance
Human Factors
Principles for measuring teamwork skills
Human Factors - Special issue: measurement in human factors
Simulation of cognition: applications
Expertise and technology
Cognitive conceptions of expertise
Expertise in context
A general framework for conceiving of expertise and expert systems in context
Expertise in context
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
IEEE Intelligent Systems
Coordinating Expertise in Software Development Teams
Management Science
Exploratory sequential data analysis: foundations
Human-Computer Interaction
Serious Games, Debriefing, and Simulation/Gaming as a Discipline
Simulation and Gaming
Learning in Single-Versus Multiplayer Games: The More the Merrier?
Simulation and Gaming
Activity recognition using eye-gaze movements and traditional interactions
Interacting with Computers
Performance-based metrics for evaluating submarine command team decision-making
FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
Toward a Model for Intercultural Communication in Simulations
Simulation and Gaming
Conceptual modeling for simulation-based serious gaming
Decision Support Systems
The Coaching Cycle: A Coaching-by-Gaming Approach in Serious Games
Simulation and Gaming
Toward a Taxonomy Linking Game Attributes to Learning: An Empirical Study
Simulation and Gaming
International Journal of Web-Based Learning and Teaching Technologies
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Simulation-based training (SBT) is a methodology for providing systematic and structured learning experiences. The effectinvess of this methodology is dependent on the quality of performance measurement practices in place. Performance measurement during SBT must be diagnosed; that is, the causes of effective and ineffective performance must be determined. This diagonstic measurement drives the systematic decisions concerning corrective feedback and remediation. The purpose of this article is to provide a state of the science review of human performance measurement systems in SBT. To this end, three specific goals are addressed. First, a review of the theoretical foundations being used to drive performance measurement systems in SBT is provided. Second, an overview of the methodologies and approaches to measurement in SBT is provided. Third, a set of best practices for designing performance measurement systems for use in SBT are provided. These best practices are based on the scientific and practice-based literatures.