Machine learning-based educational content adaptation based on user personal characteristics
US12211395B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2021 |
| Grant date | Jan 28, 2025 |
| Priority date | — |
| Expiry date | May 22, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG09B7/04
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Techniques are provided for machine learning-based educational content adaptation based on user personal characteristics. One method comprises obtaining personal characteristics of at least one user; applying the personal characteristics of the at least one user to at least one machine learning model to automatically adapt at least one educational content item for the at least one user using one or more of the applied personal characteristics of the at least one user; and initiating a provision of the at least one automatically adapted educational content item to the at least one user. Technology-related characteristics of the at least one user may also be applied to the at least one machine learning model to further adapt the at least one educational content item for the at least one user using the applied technology-related characteristics.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.