Systems and methods to provide training guidance

Abstract

Systems and methods to provide a training solution for a trainee are disclosed. In some embodiments the method comprises receiving a training requirement comprising a training outcome and a training configuration wherein the training configuration defines a trainee state, determining a training environment based on a relevancy function of the training environment to the training outcome, determining a training content based on a relationship function of the training content to the trainee state and determining a training solution comprising the training environment and the training content. In some embodiments, the relationship function comprises a POMDP model and the relevancy function comprises a best fit curve.

We claim: 
     
         1 . A computer based method to determine a training solution for a trainee, the method comprising:
 receiving a training requirement comprising a training outcome and a training configuration;   the training configuration defining a trainee state;   determining a training environment based on a relevancy function of the training environment to the training outcome;   determining a training content based on a relationship function of the training content to the trainee state; and   determining a training solution comprising the training environment and the training content.   
     
     
         2 . The computer based method of  claim 1  wherein:
 the training outcome is selected from a plurality of predetermined training outcomes; 
 the relevancy function defining a relevancy value for each of the predetermined training outcomes to each of a plurality of the training environments; and 
 determining the training environment based on a relevancy function of the training environment to the training outcome comprises selecting the training environment having the highest relevancy value to the training outcome. 
 
     
     
         3 . The computer based method of  claim 2  wherein the step of selecting the training outcome from a plurality of predetermined training outcomes comprises:
 selecting the training configuration from a list of predetermined training configurations; 
 and 
 each of the predetermined training configurations having a relevancy value to each of the plurality of training outcomes whereby selecting the training configuration selects the training outcome. 
 
     
     
         4 . The computer based method of  claim 2  wherein the relevancy function comprises a best fit curve. 
     
     
         5 . The computer based method of  claim 2  wherein the training requirement comprises one selected from a group of predetermined training requirements consisting of:
 a platform; 
 a role and experience; 
 a training type; and 
 an experience. 
 
     
     
         6 . The computer based method of  claim 2  wherein the training outcome comprises one selected from a group of predetermined training requirements consisting of:
 a competency; 
 a knowledge and skill; and 
 a training content. 
 
     
     
         7 . The computer based method of  claim 2  further comprising:
 receiving a performance value of the training solution; and 
 updating the relevancy function using a machine learning technique and the performance value. 
 
     
     
         8 . The computer based method of  claim 1  wherein:
 the training configuration is selected from a plurality of predetermined training configurations; 
 the relationship function defining a relationship value for each of the predetermined training configurations to each of a plurality of the training contents; and 
 determining the training content based on a relationship function of the training content to the training configurations comprises selecting the training content having the highest relationship value to the training configuration. 
 
     
     
         9 . The computer based method of  claim 8  wherein:
 the highest relationship value to the training configuration is defined by the relationship function of the training content and the training configuration; and 
 the relationship function comprises a POMDP model. 
 
     
     
         10 . The computer based method of  claim 8  further comprising:
 receiving a performance value of the training solution; and 
 updating the relationship function using a machine learning technique and the performance value. 
 
     
     
         11 . The computer based method of  claim 3  further comprising:
 receiving a performance value of the training solution; and 
 updating the relevancy function using a machine learning technique and the performance value; and 
 updating the relevancy function using a machine learning technique and the performance value; 
 wherein the relevancy function comprises a best fit curve; 
 wherein the relationship function defining a relationship value for each of the predetermined training configurations to each of a plurality of the training contents; 
 wherein determining the training content based on a relationship function of the training content to the training configurations comprises selecting the training content having the highest relationship value to the training configuration; 
 wherein the highest relationship value to the training configuration is defined by relationship function of the training content and the training configuration; and 
 wherein the relationship function comprises a POMDP model. 
 
     
     
         12 . A computer based method to determine a training content for a trainee, the method comprising:
 receiving a training requirement comprising a training outcome and a training configuration;   the training configuration defining a trainee state; and   determining a training content based on a relationship function of the training content to the trainee state.   
     
     
         13 . The computer based method of  claim 12  wherein:
 the training configuration is selected from a plurality of predetermined training configurations; 
 the relationship function defining a relationship value for each of the predetermined training configurations to each of a plurality of the training contents; and 
 determining the training content based on a relationship function of the training content to the training configurations comprises selecting the training content having the highest relationship value to the training configuration. 
 
     
     
         14 . The computer based method of  claim 12  wherein:
 the highest relationship value to the training configuration is defined by relationship function of the training content and the training configuration; and 
 the relevancy function comprises a POMDP model. 
 
     
     
         15 . The computer based method of  claim 12  further comprising:
 receiving a performance value of the training solution; and 
 updating the relevancy function using a machine learning technique and the performance value. 
 
     
     
         16 . The computer based method of  claim 12  further comprising:
 receiving a trainee performance value of the trainee; 
 one of the plurality of predetermined training configurations comprising a trainee state; 
 and 
 updating the trainee state to an updated trainee state using the relevancy function and the trainee performance value. 
 
     
     
         17 . A training guidance system for determining a training solution, the training guidance system comprising:
 a processor;   a non-transitory computer readable medium having a computer readable program code embodied therein, said computer readable program code configured to be executed to implement a method comprising:
 receiving a training requirement comprising a training outcome and a training configuration; 
 the training configuration defining a trainee state; 
 determining a training environment based on a relevancy function of the training environment to the training outcome; 
 determining a training content based on a relationship function of the training content to the trainee state; and 
 determining a training solution comprising the training environment and the training content.