An intelligent generation system for real-time question generation and grading in electronic whiteboard classrooms

The intelligent generation system that enables real-time question generation and grading via electronic whiteboard classrooms solves the problems of real-time question generation and automatic grading in existing technologies, realizing real-time interaction and personalized processing of teaching content, and improving classroom interaction efficiency and student participation.

CN122312337APending Publication Date: 2026-06-30GUANGZHOU LANGO ELECTRONICS TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGZHOU LANGO ELECTRONICS TECH CO LTD
Filing Date
2026-03-25
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing electronic whiteboard systems cannot dynamically generate practice questions based on the teacher's real-time writing and simultaneously complete the automatic grading and feedback of students' answers, resulting in insufficient real-time performance, personalization, and classroom interaction.

Method used

The intelligent generation system, which uses electronic whiteboard classrooms for real-time question generation and grading, includes a whiteboard content acquisition module, a teaching content parsing module, a question generation module, an answer content parsing module, and a feedback output module. It uses natural language processing technology and pre-trained models to perform semantic parsing, personalized question generation, and instant grading, enabling real-time interaction of teaching content.

Benefits of technology

It has enabled deep intelligent interaction in the classroom teaching process, improved the efficiency of classroom interaction and the level of personalized teaching, reduced the burden of lesson preparation and grading for teachers, and enhanced students' sense of participation and real-time achievement in learning.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application provides an intelligent question generation system for real-time question generation and grading in electronic whiteboard classrooms, belonging to the field of smart teaching technology. It solves the technical problem that existing systems cannot dynamically generate practice questions based on teachers' real-time handwriting and simultaneously complete automatic grading and feedback of student answers. The system includes: a whiteboard content acquisition module for acquiring teacher and student handwriting; a teaching content parsing module for semantic parsing and knowledge point extraction of teacher handwriting to obtain teaching content; a question generation module for inputting teaching content into a pre-trained question generation model and outputting personalized practice questions, corresponding standard answers, and scoring rules; an answer content parsing module for text extraction and structured organization of student handwriting to obtain answer content; and a real-time grading module for comparing and grading answer content based on standard answers and scoring rules to obtain grading results. This application is used in smart teaching processes.
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