Patent ID: 11922332
Assignee: ASTRUMU, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A system for managing data correlation, comprising:
a network computer, comprising:
a memory that stores at least instructions; and
one or more processors that execute instructions that enable performance of actions, including:
providing one or more role success models that correspond to one or more roles and to one or more success criteria;
providing one or more student profiles that include one or more of skills or features of one or more student profiles based on their corresponding student information;
employing the one or more role success models to determine one or more intermediate scores based on the one or more student profiles and the one or more success criteria;
generating a predictive score for the one or more students that corresponds with a predicted performance of each student in the one or more roles based on the one or more intermediate scores;
determining one or more actions to recommend to the one or more students to remediate a mismatch of their one or more of skills or features and one or more of role skills or role features that correspond to the one or more roles;
training one or more skill models to determine one or more of alumni skills or alumni features for the plurality of alumni based on alumni information;
machine learning training of one or more role success models to identify one or more alumni that match the one or more success criteria based on the one or more alumni profiles and the one or more success criteria, wherein the one or more role success models are independently trained for different roles;
employing the one or more trained role success models to determine a closeness of a match of a student profile for a student to the one or more success criteria that correspond to the one or more roles based on the one or more skills or features included in the student profile;
generating a display, in a user interface, for an inter-active report that includes the learner score for a student and one or more pathways for the student to increase the student's learner score by completing the one or more recommended actions;
generating telemetry information using one or more interactions by the student with one or more features displayed in the user interface, wherein the telemetry information is used to update the student profile associated with the student;
in response to completion of the one or more recommended actions by the student, automatically updating the one or more skills of the student and generating a new predictive score for the student based on the one or more updated skills and the one or more trained role success models, and wherein one or more new actions are generated and recommended to remediate the mismatch;
generating another display, in the user interface, that includes the one or more new recommended actions to remediate the mismatch for the student that completed the one or more recommended actions; and
periodically machine learning retraining the one or more role success models to account for one or more changes to one or more of alumni information, student information, or role description, wherein the machine learning retraining improves effectiveness of determining a closeness of one or more matches of a skill vector or a feature vector to the one or more success criteria; and

a client computer, comprising:
a memory that stores at least instructions; and
one or more processors that execute instructions that enable performance of actions, including:
providing one or more of the student information or the alumni information.