AIGC在化学教育中的融合现状与挑战
DOI:
https://doi.org/10.6938/iie.070404Abstract
人工智能深刻改变着化学教育实践。本文探讨AIGC技术如何重塑化学教学的知识传递、实验操作和师生关系。在理论教学中，AI帮助构建动态知识网络和分子可视化，使抽象概念更直观，不过模拟高级量子过程时精度有限，亟需进行技术提升。在实验教学中，智能系统利用历史数据提供安全预警，提升了安全性。但虚拟实验技能难以有效转移到现实场景，可能弱化学生对真实风险的敬畏感。技术应用也带来新伦理风险，例如生成危险方案和学术诚信问题。本文提出构建技术学科协同框架，制定可视化标准、建立虚实结合评价体系、开发危险反应筛查机制，推动化学教育转型，其核心在于平衡技术效率与化学学科对精确性的本质要求。
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