A human-computer collaborative autism child whole-cycle intelligent education system

By constructing a human-machine collaborative smart education system that integrates data collection, fusion, evaluation, and profile generation modules, the system solves the problems of data fragmentation and insufficient adjustment of teaching plans in the education of children with autism, and achieves intelligent support throughout the entire lifecycle and efficient management of the teaching process.

CN122245636APending Publication Date: 2026-06-19QINGDAO HENGXING UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
QINGDAO HENGXING UNIV OF SCI & TECH
Filing Date
2026-03-13
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

In current autism education, assessment data is scattered and difficult to integrate, intervention program adjustments rely on personal experience, teaching process recording and analysis are inefficient, and there is a lack of systematic decision support, resulting in outdated teaching programs and difficulty in accurately quantifying their effects.

⚗Method used

We will build a smart education system that integrates human-machine collaboration, data collection, fusion, evaluation and profile generation modules through a cloud platform, and combine evidence-based practice knowledge base and expert experience to generate personalized intervention plans. We will also use interactive teaching terminals and home modules to make real-time adjustments and records, forming a closed-loop data system throughout the entire lifecycle.

🎯Benefits of technology

It enables accurate assessment and dynamic reflection of the abilities of children with autism, enhances the personalization and scientific nature of intervention programs, reduces the burden on teachers, and ensures the consistency of teaching strategies and continuous improvement of progress.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a human-machine collaborative intelligent education system for children with autism throughout its entire lifecycle. The system includes a cloud-based intelligent education platform and connected modules for data acquisition and fusion, comprehensive assessment and profile generation, human-machine collaborative intervention planning, interactive teaching terminals, teaching assistance and recording, family functions, and effect tracking. Through the collaborative operation of these modules, a closed-loop management system covering the entire lifecycle of "assessment-planning-intervention-recording-analysis-adjustment" is achieved. This invention cleanses, aligns, and fuses standard assessments from medical institutions, daily observation records from educational institutions, and real-time physiological and behavioral data of children collected by various sensors in natural settings, forming unified individual time-series data. This allows professionals to generate and continuously update a child's "digital profile" based on a multi-dimensional data foundation, thereby achieving a more comprehensive and accurate understanding of the child's abilities and developmental trends.
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