Adaptive team training evaluation system and method

An adaptive training system configured to implement a virtual training environment, comprising:

• a control platform comprising:
• a processor,
• a non-transitory, computer readable storage medium having encoded thereon, machine instruction executable by the processor, and
• virtual machines in communication with corresponding media devices, the media devices external to the training environment, the media devices comprising native sensors, each native sensor operating under control of a corresponding native sensor agent implemented on the media devices,
• wherein, the machine instructions comprise instructions to:
• couple the virtual machines to the corresponding media devices,
• deploy native sensor agents to activate and control the native sensors,
• initiate execution of a training exercise on the virtual training machines,
• identify actions taken during execution of the training exercise to specific media devices,
• receive and process outputs from the native sensors, and
• adapt, in real-time, the training exercise executing on the virtual training environment in response to the outputs of the native sensors, the adaptation changing one or more of difficulty, fidelity, and complexity of the training exercise, wherein the training exercise comprises one or more injectable events, wherein the processor further executes to evaluate performance of a trainee group by assessing trainee group performance after each injectable event, comprising, for each correction action, determining a timing of the correct action taken and applying a weight to the correct action;
• for each incorrect action, a negative score;
• computes an event score as a sum of a product of the weight and a positive score for each correction action, and the negative score for each incorrect action;
• and
• computes a cumulative event score by summing weighted positive scores and negative scores for each injected event.

An adaptive training system, comprising machine instruction executable by a processor and stored on a non-transitory, machine-readable storage medium, wherein the processor executes the machine instructions to implement a virtual training environment, comprising the processor:

• generate the virtual training environment;
• generate a plurality of virtual training machines and implement the virtual training machines on corresponding media devices coupled to the processor, each media device comprising one or more native sensors;
• deploy native sensor agents to activate and control the native sensors;
• initiate execution of a training exercise on the virtual training machines, the training exercise comprising a series of events, each event having a defined initial state;
• receive and process outputs from the native sensors during execution of the training exercise;
• identify actions taken during execution of the training exercise to specific media devices, and
• adapt, in real-time, the training exercise executing on the virtual training environment in response to the outputs of the native sensors, the adaptation changing one or more of difficulty, fidelity, and complexity of the training exercise, wherein the training exercise comprises one or more injectable events, wherein the processor further executes to evaluate performance of a trainee group by assessing trainee group performance after each injectable event, comprising, for each correct action, determining a timing of the correct action taken and applying a weight to the correct action;
• for each incorrect action, a negative score;
• computes an event score as a sum of a product of the weight and a positive score for each correct action, and the negative score for each incorrect action;
• and
• computes a cumulative event score by summing weighted positive scores and negative scores for each injected event.