AI赋能下民航安全技术管理专业智慧课堂探索——以违禁物品识别课程为例

Exploring Smart Classrooms for Civil Aviation Safety Technology Management Enabled by AI—Taking the Prohibited Items Identification Course as an Example

摘要: 针对民航安全技术管理专业传统教学中“理论与实践脱节、实训场景单一、反馈滞后”等问题，本文以《违禁物品识别》课程为例，基于AI技术与智慧课堂理论构建了AI赋能的智慧课堂体系。研究首先明确AI技术在智慧课堂中的“资源供给–教学支撑–评价优化”三大作用机制，进而从四个维度完成课堂设计：在教学目标上，确立“知识–技能–素质”三维培养方向，突出AI技术应用能力；在教学内容上，整合为四大模块化单元，实现AI技术与课程知识点深度融合；在教学方法上，构建“课前预习–课中实训–课后巩固”闭环流程，强化个性化学习支持；在教学评价上，建立“AI辅助 + 多元参与”体系，覆盖知识掌握、技能实操与素质养成。该体系的构建不仅为《违禁物品识别》课程提供了可落地的教学改革框架，也为民航安全技术管理专业及同类职业教育课程的AI赋能智慧课堂建设提供了理论参考与实践范式。

Abstract: In response to the problems of “disconnection between theory and practice, single training scenarios, and lagging feedback” in traditional teaching of civil aviation safety technology management, this article takes the course of “Identification of Prohibited Items” as an example and constructs an AI empowered smart classroom system based on AI technology and smart classroom theory. The study first clarifies the three major mechanisms of “resource supply teaching support evaluation optimization” of AI technology in smart classrooms, and then completes classroom design from four dimensions: in terms of teaching objectives, establishing a three-dimensional training direction of “knowledge skills quality”, highlighting the application ability of AI technology; In terms of teaching content, it is integrated into four modular units to achieve deep integration of AI technology and course knowledge points; In terms of teaching methods, establish a closed-loop process of “pre class preparation, in class practical training, and post class consolidation” to strengthen personalized learning support; In terms of teaching evaluation, establish an “AI assisted + diversified participation” system that covers knowledge mastery, practical skills, and quality development. The construction of this system not only provides a practical teaching reform framework for the course of “Identification of Prohibited Items”, but also provides theoretical references and practical paradigms for the AI empowered smart classroom construction of civil aviation safety technology management majors and similar vocational education courses.