大学化学 >> 2025, Vol. 40 >> Issue (9): 11-18.doi: 10.12461/PKU.DXHX202408123

所属专题： AI赋能化学教育

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生成式人工智能在酸碱中和滴定图像模拟中的应用

秦磊1, 郭凯2   

  1. 1 天津市教育科学研究院, 天津 300191;
    2 天津市第四十五中学, 天津 300193
  • 收稿日期:2024-08-28 录用日期:2024-11-04 发布日期:2025-09-16
  • 通讯作者: 秦磊 E-mail:chemqinlei2023@163.com
  • 基金资助:
    天津市教育科学研究院青年课题(TJJKY2024-QN-19)；天津市教育学会科研课题(KT-301-2024-YB-0001)

Application of Generative Artificial Intelligence in the Simulation of Acid-Base Titration Images

Lei Qin1, Kai Guo2   

  1. 1 Tianjin Academy of Educational Sciences, Tianjin 300191, China;
    2 Tianjin No. 45 High School, Tianjin 300193, China
  • Received:2024-08-28 Accepted:2024-11-04 Published:2025-09-16
  • Contact: Lei Qin E-mail:chemqinlei2023@163.com

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摘要： 本研究深入探讨了生成式人工智能技术在酸碱中和滴定图像模拟领域的创新应用。通过实践，我们使用生成式人工智能技术编写了酸碱中和滴定动态图像的代码，并据此建立了一个“实验图像代码生成+调优”的范式。该范式紧密结合教育场景与教学的实际需求，旨在为化学教育工作者在实验教学中提供创新的技术支持，同时为学生在化学学习过程中构建智能、交互式的学习场景。

关键词: 人工智能, 化学实验, 代码编写, 动态图像

Abstract: This study explores the innovative application of generative artificial intelligence (AI) in the simulation of acid-base titration images. Through hands-on experimentation, we employed generative AI techniques to develop code for dynamic acid-base titration images, establishing a “code generation and optimization for experimental images” paradigm. This approach is tightly aligned with the practical needs of educational settings, aiming to offer cutting-edge technological support for chemistry educators in experimental teaching. It also aims to create intelligent, interactive learning environments to enhance students’ understanding of chemistry.

Key words: Artificial intelligence, Chemical experiment, Code development, Dynamic image