An artificial intelligence education auxiliary method and device based on a multi-agent cooperation mechanism, a storage medium and a product
By employing a multi-agent collaborative mechanism and utilizing various agents and knowledge bases, the problems of fragmented resources and singular evaluation in existing artificial intelligence education systems have been solved. This enables multi-scenario learning support and personalized services, thereby improving learning efficiency and comprehensive quality assessment.
CN122240642APending Publication Date: 2026-06-19JIANGSU UNIV OF SCI & TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGSU UNIV OF SCI & TECH
- Filing Date
- 2026-03-16
- Publication Date
- 2026-06-19
Smart Images
Figure CN122240642A_ABST
Abstract
This invention discloses an artificial intelligence-assisted education method, device, storage medium, and product based on a multi-agent collaborative mechanism. The method includes: performing semantic analysis and intent classification on user-input learning needs information using a fine-tuned domain pre-trained language model to obtain a needs classification result; inputting the user-input learning needs information into the corresponding functional agents according to the needs classification result to obtain an output result; and integrating the output results of each functional agent according to a preset priority and feeding them back to the user.
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