学习机的控制方法、控制装置及学习机
By acquiring user identification information and historical learning feature records, the optimal learning method is generated, and the learning task sequence is dynamically adjusted, which solves the problem of rigid learning machine paths and improves learning efficiency and experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 深圳倍爱思科技有限公司
- Filing Date
- 2026-01-26
- Publication Date
- 2026-07-17
AI Technical Summary
The control logic of existing learning machines relies excessively on pre-set static content architecture and generalized recommendation rules, lacks refined modeling of individual user characteristics, and is unable to make dynamic decisions and adapt to the best learning methods, resulting in rigid learning paths, low efficiency, and poor user experience.
By acquiring user identification information, determining learning habits and historical learning characteristics, generating optimal learning methods, dynamically adjusting the priority and content difficulty of learning task sequences, and optimizing learning paths.
It enables the dynamic generation and optimization of personalized learning paths, improving learning efficiency and experience, and solving the problem of insufficient adaptability.
Smart Images
Figure CN121582041B_ABST