The present disclosure describes a talent-identification system that can be used by companies to assist in the recruitment process for new employees. Additionally, the system can be used by job seekers to determine ideal career fields and industries. The system employs an array of neuroscience-based tests to assess a user's career propensities, after which the system can provide career recommendations to the user or report on employment suitability of the user to a company.

The present disclosure describes a talent-identification system that can be used by companies to assist in the recruitment process for new employees. Additionally, the system can be used by job seekers to determine ideal career fields and industries. The system employs an array of neuroscience-based tests to assess a user's career propensities, after which the system can provide career recommendations to the user or report on employment suitability of the user to a company.

A method for improving learning comprehension regarding a lesson includes issuing a first learning illustrative model to a set of learner computing entities. The method further includes obtaining a first comprehension evaluation associated with a first learner computing entity for the first learning illustrative model. The method further includes obtaining a second comprehension evaluation associated with a second learner computing entity for the first learning illustrative model. The method further includes modifying the fundamental illustrative model to illustrate a second set of learning assets of a second learning object based on at least one of the first and second comprehension evaluations to produce a second learning illustrative model. The method further includes sending the second learning illustrative model to the set of learner computing entities.

A method for improving learning comprehension regarding a lesson includes issuing a first learning illustrative model to a set of learner computing entities. The method further includes obtaining a first comprehension evaluation associated with a first learner computing entity for the first learning illustrative model. The method further includes obtaining a second comprehension evaluation associated with a second learner computing entity for the first learning illustrative model. The method further includes modifying the fundamental illustrative model to illustrate a second set of learning assets of a second learning object based on at least one of the first and second comprehension evaluations to produce a second learning illustrative model. The method further includes sending the second learning illustrative model to the set of learner computing entities.

Systems and methods of the present invention provide for identifying the skills of a candidate, generating and delivering one or more courses for skill development to the candidate, and/or providing certification or other credentials for skills obtained by the candidate via the courses. Identifying the skills may include a server comparing a set of initial skills to a set of requisite skills to identify a set of untrained skills. Generating and delivering courses may include generating a skill path based on the set of untrained skills and delivering course content associated with the untrained skills. Providing certification may include issuing a credential to the user upon determining that the user has successfully completed a course and sending notifications to third party servers and/or a user device indicating completion of the course.

According to an embodiment of the disclosure, a method of analyzing and evaluating content at a display device, includes obtaining a speech input of a user of the display device. The method further includes determining an intent of the user based on a result of interpreting the speech input. The method further includes obtaining reference data based on the intent of the user. The method further includes obtaining submission content from an external device connected to the display device. The method further includes determining at least one target object to be compared with the reference data from among objects included in the submission content. The method further includes evaluating the submission content by comparing the at least one target object with the reference data.

According to an embodiment of the disclosure, a method of analyzing and evaluating content at a display device, includes obtaining a speech input of a user of the display device. The method further includes determining an intent of the user based on a result of interpreting the speech input. The method further includes obtaining reference data based on the intent of the user. The method further includes obtaining submission content from an external device connected to the display device. The method further includes determining at least one target object to be compared with the reference data from among objects included in the submission content. The method further includes evaluating the submission content by comparing the at least one target object with the reference data.

A method for generating a virtual reality environment includes detecting an illustrative asset that is common to a first set of assets and a second sets of assets. The method further includes rendering a three-dimensional (3-D) model of the illustrative asset and a 3-D model of the first set of assets using an illustration approach to produce 3-D frames of a first descriptive asset. The method further includes obtaining an evaluation of the first descriptive asset based on a first assessment response associated with a portrayal of the first descriptive asset. The method further includes modifying the illustration approach based on the evaluation to produce an updated illustration approach. The method further includes rendering the 3-D model of the illustrative asset and a 3-D model of the second set of assets using the updated illustration approach to produce 3-D frames of a second descriptive asset.

A map regarding one or more virtual actions may be stored in memory. The virtual actions may be associated with a set of data associated with performing a corresponding action in a real-world environment. Data regarding a action by a user in the real-world environment may be captured. A current progress level of the user within the virtual environment is identified. The current identified progress level is associated with one or more available virtual actions. The captured data may correspond to an identified one of the available virtual actions based on a match between the captured data and the set of data associated with the identified virtual action as indicated by the map. A search of one or more databases for instructions corresponding to the identified virtual action is initiated.

In some embodiments, a computer system comprises processors, a request manager coupled to the processors and configured to receive practice test requests, a practice test manager configured to retrieve practice test data, a real time session manager configured to establish a real time session with a user computer, an AI-based analyzer configured to execute a machine learning model to determine accuracy of results received from the user computer, a non-transitory computer-readable storage medium storing sequences of instructions for: receiving, using the request manager, a request for performing a practice test; retrieving, using the practice test manager, data for the practice test; using the real time session manager: establishing a real time session with the user computer to enable the user computer to access the data and execute the practice test; and as the practice test is executed, collecting test results and transmitting them to user devices.