Systems and methods for predictive modelling of digital assessment performance
US11676503B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 10, 2020 |
| Grant date | Jun 13, 2023 |
| Priority date | — |
| Expiry date | Dec 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided by which a machine learning model may be executed to determine the probability that a given user will respond correctly to a given assessment item of a digital assessment on their first attempt. The machine learning model may process feature data corresponding to the user and the assessment item in order to determine the probability. The feature data may be calculated periodically and/or in real time or near-real time according to a machine learning model definition based on assessment data corresponding to the user's activity and/or based on responses submitted by all users to the assessment item and/or to content related to the assessment item.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.