Fusing Specialty-Innovation Integration and AI-Driven Pedagogy: A Vocational Education Framework for Cultivating Talent in the Emerging Low-Altitude Logistics Industry
作者
Haidong Li
出处
期刊: [Association for Computing Machinery] 日期:2025-10-24卷期号:: 126-133
标识
DOI:10.1145/3785987.3786008
摘要
The low-altitude logistics (LAL) industry—a pivotal manifestation of new quality productive forces—faces severe talent shortages despite rapid global expansion. To address this critical gap, we propose an innovative vocational education framework integrating Specialty-Innovation principles (Specialization and innovation) with AI-driven pedagogy, featuring: A tri-level knowledge architecture(Foundation/Application/Expansion) for technical competency building; A four-step teaching methodology (Scenario→Task→Tool→Evaluation) for practical skill development; An AI-powered platform enabling personalized learning paths and dynamic assessment. Validated through three iterative action research cycles, results demonstrate 46%↑ technical proficiency in AI/route optimization, 80%↑ innovation project engagement, and 9.2/10 industry alignment. This replicable model establishes a sustainable talent pipeline for next-generation LAL ecosystems.