人工智能赋能《计算机在化学化工中的应用》课程的教学改革探索

Exploring Teaching Reform in the Course “Applications of Computers in Chemistry and Chemical Engineering” Empowered by Artificial Intelligence

摘要: 在人工智能(Artificial Intelligence, AI)与教育深度融合的数字化时代，《计算机在化学化工中的应用》作为连接信息技术与化工学科的核心课程，其传统教学模式面临知识迭代滞后、实践场景受限、个性化培养不足等现实挑战。本文结合课程核心章节内容，利用AI赋能教学体系。通过剖析传统教学痛点，提出AI在文献检索与管理、实验设计与数据分析、图形编辑与工艺模拟等模块的具体应用路径。基于TPACK和SAMR理论视角，构建三阶递进式AI赋能教学框架，并建立多元评价体系，为化工类课程数字化转型提供参考。

Abstract: In the digital age, where artificial intelligence (AI) is deeply integrated with education, “Applications of Computers in Chemistry and Chemical Engineering” serves as a core course bridging information technology and chemical engineering. However, its traditional teaching model faces practical challenges such as lagging behind in knowledge updates, limited practical scenarios, and insufficient personalized instruction. This paper integrates AI into the teaching system by drawing on the core content of the course. By analyzing the pain points of traditional teaching, it proposes specific application pathways for AI in modules such as literature retrieval and management, experimental design and data analysis, and graphical editing and process simulation. Based on the TPACK and SAMR theoretical frameworks, it constructs a three-stage, progressive teaching framework empowered by AI and establishes a diversified assessment system, providing a reference for the digital transformation of chemical engineering courses.