Adaptive training system, method, and apparatus
First Claim
1. A computerized system for training a student, said system comprising:
- a simulation station configured to interact with the student, said simulation station displaying output to the student via at least one output device and receiving input via at least one input device;
a computer system connected with the simulation station and having a rules engine operative thereon, having computer accessible data storage operatively associated therewith, and storing the following electronically accessible data;
learning object data comprising a plurality of learning objects each configured to provide interaction with the student at the simulation system so as to train the student, andrule data defining a plurality of rules accessed by the rules engine, said rules data including, for each rule, respective if-portion data defining a condition of data and then-portion data defining an action that the rules engine causes to be performed at the simulation station when the condition of data of the if-portion is satisfied,for at least some of said rules, the respective action comprising output of a respective one of the learning objects so as to interact with the student; and
said rules engine being continuously active such that when the condition of data of any of the if-portions of the rules becomes present in the data storage the computer system performs the action of the then-portion thereof substantially immediately;
wherein the data storage stores student state data including training assessment data that is indicative of a current training level of the student;
said rules being configured to cause the simulation station to present, based on the student state data, a course of training comprising a series of said learning objects presented to the student at the simulation station;
wherein the computerized system updates the training assessment data of the student in real time during the course of training as the learning objects thereof are presented to the student, and based on one or more inputs of the student to the simulation station; and
wherein the rule data includes remedial rule data defining a plurality of remedial rules,wherein each remedial rule has a respective if-portion and a respective then-portion;
wherein the if-portion of each of said remedial rules has a data condition that causes execution of the then-portion thereof when the training assessment data of the student indicates a KSA gap in the current training level of the student, and the then-portion of the remedial rule substantially immediately causes the computer system to perform an action that causes output of a remedial training learning object to the student at the simulation station; and
wherein the remedial training learning object is selected based on said KSA gap indicated by the training assessment data, and the remedial training learning object is configured to remediate the KSA gap, wherein, when the KSA gap is a gap in knowledge, the remedial training learning object is a knowledge-directed remedial learning object, wherein, when the KSA gap is a gap in skill, the remedial training learning object is a skill-directed remedial learning object, and wherein, when the KSA gap is a gap in ability, the remedial training learning object is an ability-directed remedial learning object.
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Accused Products
Abstract
A system and method for training a student employ a simulation station that displays output to the student and receives input. The computer system has a rules engine operating on it and computer accessible data storage storing (i) learning object data including learning objects configured to provide interaction with the student at the simulation system and (ii) rule data defining a plurality of rules accessed by the rules engine. The rules data includes, for each rule, respective (a) if-portion data defining a condition of data and (b) then-portion data defining an action to be performed at the simulation station. The rules engine causes the computer system to perform the action when the condition of data is present in the data storage. For at least some of the rules, the action comprises output of one of the learning objects so as to interact with the student.
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Citations
21 Claims
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1. A computerized system for training a student, said system comprising:
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a simulation station configured to interact with the student, said simulation station displaying output to the student via at least one output device and receiving input via at least one input device; a computer system connected with the simulation station and having a rules engine operative thereon, having computer accessible data storage operatively associated therewith, and storing the following electronically accessible data; learning object data comprising a plurality of learning objects each configured to provide interaction with the student at the simulation system so as to train the student, and rule data defining a plurality of rules accessed by the rules engine, said rules data including, for each rule, respective if-portion data defining a condition of data and then-portion data defining an action that the rules engine causes to be performed at the simulation station when the condition of data of the if-portion is satisfied, for at least some of said rules, the respective action comprising output of a respective one of the learning objects so as to interact with the student; and said rules engine being continuously active such that when the condition of data of any of the if-portions of the rules becomes present in the data storage the computer system performs the action of the then-portion thereof substantially immediately; wherein the data storage stores student state data including training assessment data that is indicative of a current training level of the student; said rules being configured to cause the simulation station to present, based on the student state data, a course of training comprising a series of said learning objects presented to the student at the simulation station; wherein the computerized system updates the training assessment data of the student in real time during the course of training as the learning objects thereof are presented to the student, and based on one or more inputs of the student to the simulation station; and wherein the rule data includes remedial rule data defining a plurality of remedial rules, wherein each remedial rule has a respective if-portion and a respective then-portion; wherein the if-portion of each of said remedial rules has a data condition that causes execution of the then-portion thereof when the training assessment data of the student indicates a KSA gap in the current training level of the student, and the then-portion of the remedial rule substantially immediately causes the computer system to perform an action that causes output of a remedial training learning object to the student at the simulation station; and wherein the remedial training learning object is selected based on said KSA gap indicated by the training assessment data, and the remedial training learning object is configured to remediate the KSA gap, wherein, when the KSA gap is a gap in knowledge, the remedial training learning object is a knowledge-directed remedial learning object, wherein, when the KSA gap is a gap in skill, the remedial training learning object is a skill-directed remedial learning object, and wherein, when the KSA gap is a gap in ability, the remedial training learning object is an ability-directed remedial learning object. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for providing computerized training to a student, said method comprising:
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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. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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Specification