AI赋能产教融合：化工安全教改探索

Teaching Reform of Chemical Safety Course Based on Industry-Education Integration and AI Empowerment

摘要: 在新工科建设与化工行业数字化转型的背景下，智慧化工对具备安全工程与数字化能力的复合型人才提出了更高要求。针对《化工安全》课程教学中存在的课堂参与度低、知识更新滞后、实践与现场脱节等问题，本文旨在探索课程教学改革路径，提升人才培养质量。基于产教融合与AI赋能的双重驱动机制，重构教学内容与教学模式：一是构建互动式课堂，增强学生参与感与学习主动性；二是引入AI辅助教学模块，涵盖智能风险识别、数据驱动的安全分析等工具；三是推行校企联合实践教学，将真实工业场景与课程任务深度融合。教学实践表明，改革后学生的学习动力明显增强，工程实践能力与数字化素养显著提升，课堂互动频率与任务完成质量均优于传统教学模式。该教学模式能有效适应智慧化工对安全人才的复合型能力要求，为培养具备智能安全管控能力的高素质应用型人才提供了可行路径。

Abstract: Under the dual drivers of the emerging engineering education (New Engineering) initiative and the digital transformation of the chemical industry, smart chemical engineering poses unprecedented demands for compound talents who possess both safety engineering expertise and digital competencies. Traditional Chemical Safety courses face prominent challenges, including low classroom participation, outdated knowledge delivery, and a significant disconnect between theoretical instruction and industrial practice. These shortcomings make it difficult to meet the evolving requirements of intelligent safety management in modern chemical enterprises. Therefore, this study aims to explore a pedagogical reform pathway to enhance the quality of talent cultivation. Drawing upon the dual mechanisms of industry-education integration and AI empowerment, the course design and instructional strategies are systematically restructured. Specifically, three main interventions are implemented: (1) An interactive classroom is established to enhance student participation and learning autonomy; (2) AI-assisted teaching modules are introduced, encompassing intelligent risk identification, data-driven safety analytics, and other relevant tools; (3) University-enterprise collaborative practical teaching is implemented, which deeply integrates real-world industrial scenarios with course tasks. Pedagogical practice demonstrates that the reformed teaching approach significantly enhances students’ learning motivation, markedly improves their engineering practice competence and digital literacy, and yields higher levels of classroom interaction frequency and task completion quality compared to traditional instructional models. This pedagogical framework effectively accommodates the multifaceted competency requirements for safety professionals in the context of intelligent chemical engineering, thereby offering a viable pathway for cultivating high-caliber application-oriented talents equipped with intelligent safety management and control capabilities.