Networked virtual reality training systems and methods

A system comprising:

• a processor;
• non-transitory machine-readable memory that stores one or more skill nodes, one or more representative training environments, and a plurality of interactive 3D virtual objects;
• one or more host computing systems communicatively coupled to the processor;
• and
• a near-to-eye display device communicatively coupled to at least one host computing system of the one or more host computing systems,
• wherein the processor in communication with the non-transitory machine-readable memory and the at least one host computing system executes a set of instructions instructing the processor to:
• output, for display, a graphical dashboard associated with a training exercise, wherein the graphical dashboard further includes a directed graph comprising:
• a plurality of metrics to be collected during execution of the training exercise;
• a plurality of skill nodes that represent a plurality of skills to be demonstrated by a trainee during the training exercise;
• a plurality of learning objectives;
• indications of a first set of hierarchical relationships between the plurality of metrics and the plurality of skill nodes and a second set of hierarchical relationships between the plurality of skill nodes and the plurality of learning objectives;
• and
• a mapping of a plurality of software agents to the plurality of metrics;
• select the plurality of software agents that are associated with the plurality of skill nodes, wherein the plurality of software agents are configured to collect virtual reality (VR) observables data for calculating the plurality of metrics corresponding to the plurality of skill nodes from the at least one host computing system while the trainee performs one or more trainee input actions within a virtual three-dimensional (3D) training environment displayed by the near-to-eye display device, wherein the VR observables data match the one or more trainee input actions performed within the virtual 3D training environment to a state of each of one or more interactive 3D virtual objects of the plurality of interactive 3D virtual objects;
• transmit to the at least one host computing system for execution during the training exercise, an indication of the plurality of software agents that are executed during the training exercise;
• transmit to the at least one host computing system one or more metric parameters to configure the plurality of software agents to calculate the plurality of metrics for determining whether the plurality of skills have been demonstrated;
• receive from the at least one host computing system the VR observables data collected by the plurality of software agents during execution and the plurality of metrics calculated from the VR observables data;
• automatically monitor the trainee input actions performed within the virtual 3D training environment using the VR observables data received from the plurality of software agents and the plurality of metrics calculated by the plurality of software agents from the VR observables data to determine whether the plurality of skills represented by the plurality of skill nodes have been demonstrated by the trainee during the training exercise;
• and
• responsive to determining that the plurality of skills have been demonstrated, update the graphical dashboard to indicate that the plurality of skills have been demonstrated by the trainee during the training exercise;
• and
• responsive to determining that the one or more of the plurality of skills indicate that the trainee met a learning objective of the plurality of learning objectives, update the graphical dashboard to indicate that the learning objective of the plurality of learning objectives has been met.