Patent ID: 11875706
Assignee: PEARSON EDUCATION, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A method of controlling training quality of a machine learning model, the method comprising:
receiving a plurality of responses received from a plurality of users in response to providing of a prompt from a plurality of prompts included in a content library database;
identifying an evaluation model relevant to the provided at least one prompt from a plurality of evaluation models included in a model database, wherein the evaluation model comprises a machine learning model trained to output a score relevant to at least portions of a response;
generating a training indicator, wherein the training indicator provides a graphical depiction of a degree to which the evaluation model is trained;
determining a training status of the evaluation model;
controlling the training indicator to identify the training status of the evaluation model;
automatically evaluating the plurality of responses with the evaluation model when the evaluation model is identified as sufficiently trained;
after the plurality of responses have been auto-evaluated, generating output data characterizing results of the auto-evaluation of the plurality of responses;
generating, based on the output data, a graphical indicator for the evaluation model, wherein the graphical indicator characterizes performance of the auto-evaluation by the evaluation model; and
controlling a user interface to display the graphical indicator.