An interactive teaching program processing method and system based on task scheduling

CN122285220APending Publication Date: 2026-06-26赣州职业技术学院
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-01
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing interactive teaching programs struggle to maintain teaching rhythm, content dependence, and interactive coherence in complex interactive scenarios, and lack the ability to dynamically optimize the execution sequence of teaching tasks, thus affecting learning outcomes.

Method used

By acquiring user teaching interaction requests, extracting teaching behavior types and current states, determining the impact level based on changes in teaching states, generating teaching task scheduling identifiers, and inserting or adjusting teaching tasks in the task scheduling queue, adaptive scheduling of the teaching process is achieved.

Benefits of technology

It achieves adaptability and robustness of the teaching process in complex scenarios, ensuring teaching continuity and execution efficiency, and is suitable for online teaching, personalized teaching, and multi-task parallel teaching.

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Abstract

This invention relates to the field of data processing technology, and more particularly to an interactive teaching program processing method and system based on task scheduling. The method includes the following steps: acquiring user teaching interaction requests and parsing the teaching behavior type and current teaching state; assessing the impact of teaching behaviors on subsequent teaching processes based on changes in the teaching state, and generating teaching task scheduling identifiers; inserting or adjusting the execution order of teaching tasks in the task scheduling queue according to the scheduling identifiers; calling the teaching program module according to the adjusted task scheduling queue to generate interactive processing results; and outputting the interactive processing results and updating the next teaching state. This invention, by classifying and judging the teaching state disturbances caused by teaching interaction behaviors, and accordingly implementing order preservation, partial adjustment, or structural reconstruction of the teaching task scheduling queue, enables the teaching program to adaptively handle different teaching scenarios while ensuring the continuity of the teaching process and the correctness of content dependencies.
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