A method for creating personalized lesson recommendations for a user is provided. In some embodiments, the method includes assigning a skill profile to the user, where the skill profile includes a skill vector associated with one or more fine-grained skills of the user. The method also includes assigning a difficulty profile to a task to be practiced by the user, where the difficulty profile includes a task difficulty vector associated with one or more fine-grained skills of the task. Further, the method include prioritizing the task within a list of recommended tasks offered to the user based on a comparison between the skill profile of the user and the difficulty profile of the task.

A method for creating personalized lesson recommendations for a user is provided. In some embodiments, the method includes assigning a skill profile to the user, where the skill profile includes a skill vector associated with one or more fine-grained skills of the user. The method also includes assigning a difficulty profile to a task to be practiced by the user, where the difficulty profile includes a task difficulty vector associated with one or more fine-grained skills of the task. Further, the method include prioritizing the task within a list of recommended tasks offered to the user based on a comparison between the skill profile of the user and the difficulty profile of the task.

Techniques are described herein for automatically determining play states, intrinsic motivators, play types/patterns and a play personality of a user/subject. Play personalities develop from activation of play states, and vary individually and are expressed in a variety of play type/patterns. These states, personalities, patterns and associated intrinsic motivations may be automatically determined by computing devices based on that user/subject's information, behaviors and biometric data. The play personality may be additionally used as the means for identifying and integrating intrinsic motivators into player-centric design which can alter and personalize user/subject/player engagement, experience and outcomes.

A method is provided for monitoring and managing muscle activity and soft tissue loading. The method includes providing to a subject a plurality of sensors for measuring muscle activity and soft tissue loading levels; directing the subject to undertake a program of exercise; measuring muscle activity and soft tissue loading during the program of exercise; comparing the measured muscle activity and soft tissue loading levels against calibrated muscle activity and soft tissue loading levels for the subject; and alerting the subject if the comparison of measured muscle activity and soft tissue loading levels against calibrated muscle activity and soft tissue loading levels indicates that a desirable level of muscle activity and/or soft tissue loading is being exceeded.

A method is provided for monitoring and managing muscle activity and soft tissue loading. The method includes providing to a subject a plurality of sensors for measuring muscle activity and soft tissue loading levels; directing the subject to undertake a program of exercise; measuring muscle activity and soft tissue loading during the program of exercise; comparing the measured muscle activity and soft tissue loading levels against calibrated muscle activity and soft tissue loading levels for the subject; and alerting the subject if the comparison of measured muscle activity and soft tissue loading levels against calibrated muscle activity and soft tissue loading levels indicates that a desirable level of muscle activity and/or soft tissue loading is being exceeded.

Described is a system for training and assessment. In operation, the system classifies a subject's baseline brain state and behavioral performance. Training goals are assessed to specify tasks the subject is to perform and a desired level of performance. The subject is subjected to neurological stimulation while the subject performs specified tasks. Behavioral data is assessed to determine if the subject has achieved the training goals. If the subject has achieved the training goals, the system stops. Alternatively, if the individual has not achieved the training goals, then neurological data is reviewed to identify activation states and values of the neurological stimulation that resulted in increased performance values from the baseline behavioral performance. The activation states and values of the neurological stimulation are adjusted to match those that resulted in increased performance values. The process is repeated until the subject has achieved the training goals.

A data driven intelligent learning and development apparatus and method using an assessment of various traits of an individual to develop skill practice areas, each with one or more development strategies to enhance and/or maintain selected skills of an individual related to the practice areas.

A method of recording observations and calculating achievement levels is disclosed. Specifically, the method is used by two mobile applications working in conjunction with a live database on a remote server. The server communicates with the database which holds a number of tables that are related and sortable, and can be accessed by both applications. These applications read and write to the same database allowing for the sharing of data in real time. The first mobile application is used by faculty educators in residency programs or medical schools and allows for the input of resident or student data relating to the observation of milestones. The second application is used by medical residents or students to access their milestone observations and is used as a live report card documenting their current level of attainment. The live database is server based and is accessed by both the faculty/teacher and learner applications.

A method of recording observations and calculating achievement levels is disclosed. Specifically, the method is used by two mobile applications working in conjunction with a live database on a remote server. The server communicates with the database which holds a number of tables that are related and sortable, and can be accessed by both applications. These applications read and write to the same database allowing for the sharing of data in real time. The first mobile application is used by faculty educators in residency programs or medical schools and allows for the input of resident or student data relating to the observation of milestones. The second application is used by medical residents or students to access their milestone observations and is used as a live report card documenting their current level of attainment. The live database is server based and is accessed by both the faculty/teacher and learner applications.

A system and methods to implement a computer program for mapping with modified features from web mapping and digital cartography applied to educational maps, to produce visual maps and mapped data for adaptive learning, competency-based education, and academic scheduling business cases.