Systems and methods for interface-based machine learning model output customization
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United States of America Patent
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Aug 29, 2023
Grant Date -
Aug 22, 2019
app pub date -
Feb 20, 2019
filing date -
Feb 20, 2018
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Abstract
Systems and methods for automated custom training of a scoring model are disclosed herein. The method include: receiving a plurality of responses received from a plurality of students in response to providing of a prompt; identifying an evaluation model relevant to the provided prompt, which evaluation model can be a machine learning model trained to output a score relevant to at least portions of a response; generating a training indicator that provides a graphical depiction of the degree to which the identified evaluation model is trained; determining a training status of the model; receiving at least one evaluation input when the model is identified as insufficiently trained; updating training of the evaluation model based on the at least one received evaluation input; and controlling the training indicator to reflect the degree to which the evaluation model is trained subsequent to the updating of the training of the evaluation model.

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Patent Owner(s)
Patent Owner | Address | |
---|---|---|
PEARSON EDUCATION INC | ONE LAKE STREET UPPER SADDLE RIVER NJ 07458 |
International Classification(s)

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- [Patents Count]
Inventor(s)
Inventor Name | Address | # of filed Patents | Total Citations |
---|---|---|---|
Baikadi, Alok | Boulder, US | 10 | 52 |
Becker, Lee | Boulder, US | 33 | 504 |
Budden, Jill | Boulder, US | 5 | 36 |
Foltz, Peter | Boulder, US | 13 | 82 |
Gorman, Andrew | Bloomington, US | 4 | 27 |
Habermehl, Kyle | Niwot, US | 9 | 80 |
Hellman, Scott | Dallas, US | 17 | 158 |
Hopkins, Stephen | Huntington Station, US | 6 | 31 |
Murray, William | Fort Collins, US | 34 | 184 |
Rosenstein, Mark | Boulder, US | 9 | 348 |
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