SYSTEMS AND METHODS TO PROVIDE TRAINING GUIDANCE
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.
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.