Innovation of talent cultivation model for safety intelligent monitoring technology specialty in the context of artificial intelligence
人工智能背景下安全智能监测技术专业人才培养模式创新

摘要

本研究聚焦人工智能背景下高职院校安全智能监测技术专业人才培养，旨在解决传统模式与行业需求脱节问题，提升人才培养质量。研究从培养目标、课程体系、实习实践、师资队伍、评价机制五方面探索创新路径：锚定智能化培养目标，构建AI融合课程体系，强化产教融合实习实践，培育双师型师资队伍，完善多元动态评价机制。研究结果表明，该创新路径显著提升了学生对AI基础技术在安全监测中的应用能力，增强了课程与产业技术的适配性，优化了实践教学场景与评价科学性，有效推动专业人才培养与行业智能化发展需求接轨，为高职院校相关专业改革提供了可借鉴的实践方案。

Abstract

This study focuses on the talent cultivation of the Safety Intelligent Monitoring Technology major in higher vocational colleges against the backdrop of artificial intelligence. Aiming to address the mismatch between traditional cultivation models and industry requirements, it endeavors to enhance the quality of talent cultivation. The research explores innovative approaches from five aspects: training objectives, curriculum system, internship practices, teaching staff, and evaluation mechanisms. It redefines intelligent - oriented training objectives, constructs an AI-integrated curriculum system, strengthens industry-education integration in internships, cultivates dual - qualified teaching staff, and improves a multi-dimensional dynamic evaluation mechanism. The results indicate that this innovative approach significantly enhances students' ability to apply basic AI technologies in safety monitoring. It also improves the alignment between the curriculum and industry technologies, optimizes practical teaching scenarios, and enhances the scientific nature of evaluations. As a result, it effectively aligns professional talent cultivation with the intelligent development needs of the industry, providing a practical and replicable reform plan for related majors in higher vocational colleges.