一种用于辅助知识学习的方法及装置

By combining three-level coordinate mapping and OCR models with subject knowledge graphs, the system achieves precise alignment and correction of paper assignments and projected content in intelligent tutoring devices. By adopting a deconstructive teaching strategy, it solves the problems of positional misalignment and eye strain in homework tutoring, thereby improving the user experience and training effectiveness of the devices.

CN122415294APending Publication Date: 2026-07-17北京爱宾果科技有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
北京爱宾果科技有限公司
Filing Date
2026-06-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing smart tutoring devices have problems in homework tutoring scenarios, such as eye strain caused by blue light radiation from the screen, low efficiency due to the separation of paper and correction content, and misalignment of the projection correction position, resulting in a poor user experience.

Method used

The paper assignments and projected content are precisely aligned using a three-level pixel-level coordinate mapping technology. An OCR model is used for grading and a deconstructive teaching strategy is employed. Personalized training is conducted by combining subject knowledge graphs and propagation probability models to generate electronic test papers.

Benefits of technology

It solves the problems of projector misalignment, eye strain, and rigid teaching methods, improves the systematicness and effectiveness of homework tutoring, takes into account both homework correction and thinking development, and achieves accurate identification of weak knowledge points and personalized training.

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Abstract

本申请属于辅助学习领域,特别涉及一种用于辅助知识学习的方法及装置,对物理作业纸面上的文字和数学公式进行扫描并解析,得到学生手写的正确内容和错误内容;基于所述错误内容和学生的手写步骤,采用分布拆解式教学策略,将标准解题路径拆解为多个递进式逻辑节点,显示在右侧投影结果区;基于中小学知识内容建立中小学学科知识图谱,采集一定量的所述错误内容,建立错题集,通过传播概率模型定位中小学学科知识图谱中对应学生的知识断点,并结合知识断点从第三方题库中进行考点、应用场景题型匹配,生成电子试卷,进行辅助学习训练。通过构建集坐标映射、作业识别批改、启发式导学、学情分析与精准推题为一体的全链路学习辅助流程。
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