System for predicting user drop-out rate and tracking user knowledge based on artificial intelligence learning and method therefor
US12417372B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 15, 2021 |
| Grant date | Sep 16, 2025 |
| Priority date | — |
| Expiry date | May 1, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/047
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to a system capable of increasing the accuracy of a prediction result when predicting a user drop-out rate or predicting a correct answer probability of a user in an online learning environment, and further relates to an operation method of the system. A system according to the present disclosure may include a plurality of encoder neural networks and a plurality of decoders, and may input question information to a kth encoder neural network and input response information to kth decoder neural network to learn the system, thereby predicting the user drop-out rate information and the users correct answer probability information with higher accuracy on the basis of the learned system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.