Teaching quality feedback information generation method, computer device, and storage medium

By combining target large language model with student simulation information and teacher voice data, teaching quality feedback is automatically generated, solving the problem of lagging feedback in traditional teaching and realizing efficient and real-time teaching quality assessment and feedback.

CN122453334APending Publication Date: 2026-07-24GUANGZHOU SHIYUAN ELECTRONICS CO LTD +1
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-24
Publication Date
2026-07-24

Smart Images

  • Figure CN122453334A_ABST
    Figure CN122453334A_ABST
Patent Text Reader

Abstract

The embodiment of the application relates to the technical field of education, in particular to a teaching quality feedback information generation method, a computer device and a storage medium. The method comprises the following steps: determining knowledge point content, obtaining student simulation information, inputting the knowledge point content and the student simulation information into a target large language model, so that the target large language model outputs a memory evaluation value, determining that the knowledge point content is short-term memory content in response to the memory evaluation value meeting a short-term memory condition, determining target long-term memory content, and generating teaching quality feedback information based on the short-term memory content and the target long-term memory content. The application can automatically generate teaching quality feedback information without the manual participation of students, thereby improving the generation efficiency and real-time performance of the teaching quality feedback information, and simulating individual characteristics of each student. From the perspective of student learning, the target large language model can evaluate the quality of a course taught by a teacher, and generate reliable teaching quality feedback information.
Need to check novelty before this filing date? Find Prior Art