AI赋能化学教学真实情境系统化高效备课——以概念原理课中化工情境的应用为例

AI赋能化学教学真实情境系统化高效备课

——以概念原理课中化工情境的应用为例

张杨杨，刘本玉(重庆市第一中学校，重庆400030)

摘 要:高中化学概念原理类课程具有较强的抽象性，传统备课在真实情境素材挖掘、教学资源整合以及工程思维渗透等方面存在效率较低、适配性不足等问题。本文基于人工智能技术，构建了“启动一定位一挖掘一筛选一整合一更新一输出”的真实情境系统化备课流程，并以“制氢工厂可行性论证”复习课为例开展教学实践。研究采用案例研究、课堂观察与学生反馈相结合等方法，对AI赋能下的情境化教学效果进行分析。结果表明，AI技术能够有效提升真实工业情境素材整合效率，增强课堂可视化与任务层次性，促进学生对化学平衡、热力学等抽象原理的理解，提升学生工程思维与知识迁移能力。

关键词:AI赋能;系统化备课;真实情境;工程思维;高中化学教学

AI Empowers Systematic and Efficient Lesson Preparation with Authentic Contexts in Chemistry Teaching:

A Case Study of Applying Chemical Engineering Contexts in Concepts-and-Principle Lessons

 Zhang Yangyang, Liu Benyu (Chongqing No.1 Secondary School, Chongqing 400030)

AbStract: High school chemistry concept and principle courses are highly abstract. Traditionallesson preparation often faces problems such as low efficiency and insufficient adaptability in themining of authentic situational materials, the integration of teaching resources and the cultivation ofengineering thinking. Based on artificial intelligence technology, the research constructs a systematiclesson preparation process for authentic situations consisting of "initiation-positioning-mining-screening-integration-updating-output", and carries out teaching practice through a review lessonentitled "Feasibility Analysis of a Hydrogen Production Plant". The research adopts a combination ofcase study, classroom observation and student feedback to analyze the effectiveness of Al-empoweredsituational teaching. The results show that AI technology can effectively improve the efficiencyof integrating authentic industrial situational materials, enhance classroom visualization and taskhierarchy, promote students' understanding of abstract principles such as chemical equilibrium andthermodynamics, and improve their engineering thinking and knowledge transfer ability.

KeyWords: AI Empowerment; Systematic Lesson Preparation; Authentic Situations; EngineeringThinking; High School Chemistry Teaching

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