AI-Enabled Behavior Modification System and Method for Preschool Inclusive Education: Integration of Teaching and Practice
DOI:
https://doi.org/10.54097/ysnzvy48Keywords:
AI Empowerment, Preschool Inclusive Education, Behavior Modification, Integration of Teaching and Practice, Local Cultural Inheritance, Intelligent Teaching SystemAbstract
To bridge the systemic gap between theoretical instruction and clinical application in "Behavior Modification" courses for preschool and inclusive education majors, this study develops an AI-enabled behavioral intervention framework. Addressing prevalent issues such as pedagogical stagnation and the scarcity of contextually relevant teaching materials , the proposed system integrates seven functional modules-ranging from multi-modal data acquisition to intelligent pedagogical feedback. This technical architecture facilitates a "Five-Step" instructional paradigm: Preview, Guidance, Lecture, Expansion, and Practice. By synthesizing regional cultural resources with the core tenets of appropriateness and contextualization, the system enables the high-precision identification of behavioral issues and the generation of culturally resonant, personalized intervention schemes. Empirical data indicates a transformative impact: the intervention success rate improved by over 30% compared to conventional manual methods, while the average recovery cycle was curtailed by 20%. Furthermore, the system enriched the pedagogical repository with real-time case data, driving the course objective attainment rate to exceed 0.78. This research provides a robust technical trajectory for synchronizing behavior modification technologies with local cultural heritage, offering a high-value reference for optimizing talent cultivation in early childhood inclusive education.
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