In one example embodiment of the invention, a simulation based training system is provided having a sensor that unobtrusively collects objective data for individuals and teams experiencing training content to determine the cognitive states of individuals and teams; time-synchronizes the various data streams; automatically determines granular and objective measures for individual cognitive load (CL) of individuals and teams; and automatically determines a cognitive load balance (CLB) and a relative cognitive load (RCL) measure in real or near-real time. Data is unobtrusively gathered through physiological or other activity sensors such as electroencephalogram (EEG) and electrocardiogram (ECG) sensors. Some embodiments are further configured to also include sociometric data in the determining cognitive load. Sociometric data may be obtained through the use of sociometric badges. Some embodiments further automatically customize the simulation content by automatically selecting content based on the CL of the individuals and teams.

A system for identifying predictive indicators of behavior of a user and demonstrating the predictive indicators of behavior in a graphical manner, the system comprising an input apparatus to facilitate recording of answers to a plurality of groups of questions from the user, a processing apparatus to facilitate calculation of output parameters, each of the output parameters are calculated by averaging answers to each of the plurality of groups of questions and a graphical apparatus to display the output parameters of each user in a graphical format, wherein each of the output parameters is depicted as its affinity to two diverse poles reflecting cognitive, affective and conative variables that illustrate a person's mental model regarding creativity, innovation, and change.

A system for identifying predictive indicators of behavior of a user and demonstrating the predictive indicators of behavior in a graphical manner, the system comprising an input apparatus to facilitate recording of answers to a plurality of groups of questions from the user, a processing apparatus to facilitate calculation of output parameters, each of the output parameters are calculated by averaging answers to each of the plurality of groups of questions and a graphical apparatus to display the output parameters of each user in a graphical format, wherein each of the output parameters is depicted as its affinity to two diverse poles reflecting cognitive, affective and conative variables that illustrate a person's mental model regarding creativity, innovation, and change.

A method for examination scoring via blockchain includes: receiving, by a receiver of a processing server, an answer submission from an external computing device, wherein the answer submission includes at least one digital signature and a plurality of exam answers; validating, by a processing device of the processing server, the digital signature using a public key of a cryptographic key pair; determining, for each of the plurality of exam answers, if the respective exam answer is correct or incorrect based on an answer key; generating, for each correct exam answer, a blockchain data value, wherein the blockchain data value includes at least the validated digital signature; transmitting, by a transmitter of the processing server, the generated blockchain data values to one or more nodes in a blockchain network for validation and addition to a blockchain associated with the blockchain network.

A method for examination scoring via blockchain includes: receiving, by a receiver of a processing server, an answer submission from an external computing device, wherein the answer submission includes at least one digital signature and a plurality of exam answers; validating, by a processing device of the processing server, the digital signature using a public key of a cryptographic key pair; determining, for each of the plurality of exam answers, if the respective exam answer is correct or incorrect based on an answer key; generating, for each correct exam answer, a blockchain data value, wherein the blockchain data value includes at least the validated digital signature; transmitting, by a transmitter of the processing server, the generated blockchain data values to one or more nodes in a blockchain network for validation and addition to a blockchain associated with the blockchain network.

A method, computer program product, and computing system for administering an alertness test on a client electronic device to determine a result for a user, wherein the result is indicative of a level of alertness of the user. Circadian information concerning the user is received. The result for the user is adjusted based, at least in part, upon the circadian information.

A method, computer program product, and computing system for administering an alertness test on a client electronic device to determine a result for a user, wherein the result is indicative of a level of alertness of the user. Circadian information concerning the user is received. The result for the user is adjusted based, at least in part, upon the circadian information.

A method, computer program product, and computing system for administering a first alertness test to determine a first result for a user, wherein the first result is indicative of a first level of alertness of the user at the time of the first alertness test. At least a second alertness test may be administered to determine at least a second result for the user, wherein the at least a second result is indicative of at least a second level of alertness of the user at the time of the at least a second alertness test. The first result is compared to the at least a second result to identify a level of cognitive decline for the user.

A method, computer program product, and computing system for administering a first alertness test to determine a first result for a user, wherein the first result is indicative of a first level of alertness of the user at the time of the first alertness test. At least a second alertness test may be administered to determine at least a second result for the user, wherein the at least a second result is indicative of at least a second level of alertness of the user at the time of the at least a second alertness test. The first result is compared to the at least a second result to identify a level of cognitive decline for the user.

A process for providing a list of user queries, wherein the list of user queries includes a weight query, an age query, and a physical activity query, wherein the physical activity query comprises a plurality of activity levels including sedentary, moderate, and heavy; determining a metabolic factor based on the list of user queries, wherein the metabolic factor comprises building, balancing, and extra building, each having a different ratio of macronutrient categories of carbohydrates, proteins, and fats; and generating a Portions Profile based on the list of user queries and the metabolic factor, wherein a Portions Profile comprises a daily recommended amount of protein, carbohydrates, fats, fluids, and cultured food/drink to promote metabolic healing.