Machine learning system for a training model of an adaptive trainer
US10552764B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 30, 2016 |
| Grant date | Feb 4, 2020 |
| Priority date | — |
| Expiry date | Mar 30, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment of the invention, a training model for students is provided that models how to present training items to students in a computer based adaptive trainer. The training model receives student performance data and uses the training model to infer underlying student skill levels throughout the training sequence. Some embodiments of the training model also comprise machine learning techniques that allow the training model to adapt to changes in students skills as the student performs on training items presented by the training model. Furthermore, the training model may also be used to inform a training optimization model, or a learning model, in the form of a Partially Observable Markov Decision Process (POMDP).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.