Abstract: A system for predicting performance of a student based on psychometric data includes data storage devices for storing psychometric data for students obtained via psychometric tests, the psychometric data being indicative of a plurality of psychological traits of the students. A training management system having one or more simulation stations collects performance data for the students. One or more processors executing an artificial intelligence module clusters the psychological traits define aptitude clusters and correlates the aptitude clusters with the performance data to thereby associate different levels of performance with each of the plurality of aptitude clusters. A new student performance prediction module receives a set of new psychometric data for a new student and associates the set of new psychometric data for the new student with one of the plurality of aptitude clusters to thereby predict the performance of the new student.

Abstract: An interactive computer simulation system, station and method for training a user in the performance of a task through a training activity. A tangible instrument module allows a user to interact with the tangible instrument module for controlling a virtual element. A plurality of performance metric datasets representing results of the interactions between the user and the tangible instrument module is obtained. During execution of the interactive computer simulation, in the plurality of performance metric datasets, a plurality of actual maneuvers of the virtual element are detected during the training activity, one or more standard operating procedures (SOPs) are identified for the training activity from a plurality of the individually detected actual maneuvers. In real-time upon detection of the SOPs, information for display in the interactive computer simulation related the SOPs.

Abstract: An interactive computer simulation system, station and method for training a user in the performance of a task through a training activity. A tangible instrument module allows a user to interact with the tangible instrument module for controlling a virtual element. A plurality of performance metric datasets representing results of the interactions between the user and the tangible instrument module is obtained. During execution of the interactive computer simulation, in the plurality of performance metric datasets, a plurality of actual maneuvers of the virtual element are detected during the training activity, one or more standard operating procedures (SOPs) are identified for the training activity from a plurality of the individually detected actual maneuvers. In real-time upon detection of the SOPs, information for display in the interactive computer simulation related the SOPs.

Abstract: A simulation mapping system and method for determining a plurality of performance metric values in relation to a training activity performed by a user in an interactive computer simulation, the interactive computer simulation simulating a virtual element comprising a plurality of dynamic subsystems. A processor module obtains dynamic data related to the virtual element being simulated in an interactive computer simulation station comprising a tangible instrument module. The dynamic data captures actions performed by the user on tangible instruments. The processor module constructs a dataset corresponding to the plurality of performance metric values from the dynamic data having a target time step by synchronizing dynamic data and by inferring, for at least one missing dynamic subsystems of the plurality of dynamic subsystems missing from the dynamic data, a new set of data into the dataset from dynamic data associated to one or more co-related dynamic subsystems.

Abstract: An interactive computer-based training system, station and method for assessing a training activity performed by a user interacting with tangible instruments for controlling the virtual element in an interactive computer simulation. A processor module obtains a plurality of performance metric datasets related to the virtual element and obtains a plurality of expected maneuvers of the virtual element during the training activity. The processor module computes the plurality of performance metric datasets to identify actual maneuvers of the virtual element during the training activity, identifies one or more failed actual maneuvers of the virtual element during the training activity against corresponding ones of the expected maneuvers and performs computational regression on the actual maneuvers of the virtual element compared to the expected maneuvers of the virtual element to identify one or more root causes of the failed actual maneuvers.