Adaptive training system, method, and apparatus

A method for providing computerized training to a student, said method comprising:

• providing a simulation station connected with a computer system with computer-accessible data storage supporting a rules engine operating continuously thereon;
• storing lesson data in the data storage so as to be accessed by the rules engine, said lesson data comprising
• learning object data defining a number of learning objects that each, when activated by the rules engine, cause the simulation station to output visual imagery, audio or other output, and
• rules data defining a plurality of rules on which the rules engine operates so as to administer the computerized training, said rules each having a data condition part and an action part, the data condition part defining a state of data in the data storage that, when present, causes the rules engine to substantially immediately direct the computerized system to take a predetermined action defined in the action part, at least some of said actions comprising activating at least some of the learning objects to interact with the student at the simulation station;
• storing student state data in the data storage, said student state data including training assessment data defining an assessment measure of a current training level of the student;
• providing the computerized training to the student at the simulation station with the rules engine being continuously active and administering the training according to the rules stored in the data storage, said rules being configured such that the rules cause the simulation station, based on the student state data, to present a course of training comprising a series of said learning objects presented to the student at the simulation station;
• automatically updating the training assessment data in real time during the presentation of the course of training as the assessment measure of the current training level of the student based on input received from the student at the simulation station;
• storing the determined assessment measure in the student state data;
• providing remediation of the current training level of the student substantially immediately by the rules data and the rules engine, wherein the rules data includes data that defines remediation rules that each causes the computer system to substantially immediately perform the action of said remediation rule when a data condition that the training assessment data of the student state data in the data storage indicates that a KSA gap is present in the current training level of the student, the action including initiating operation on the simulation station of a remedial training learning object selected from the stored learning objects;
• and
• wherein the remedial training learning objects are each configured to remediate the KSA gap indicated by the training assessment data of the student state data that causes activation of the associated remediation rule, and wherein, when said KSA gap is a gap in knowledge, the remedial training learning object is a knowledge-directed remedial learning object, wherein, when said KSA gap is a gap in skill, the remedial training learning object is a skill-directed remedial learning object, and wherein, when said KSA gap is a gap in ability, the remedial training learning object is an ability-directed remedial learning object.