大学化学

上一篇    下一篇

AI赋能地方高校无机化学实验教学探索

刘梅   

  1. 长春工业大学化学与生命科学学院, 吉林 长春 130012
  • 收稿日期:2026-03-03 录用日期:2026-03-31
  • 通讯作者: 刘梅 E-mail:liumei@ccut.edu.cn Mei Liu
  • 基金资助:
    吉林省高教科研课题(JGJX24D0198)资助

AI-empowered inorganic chemistry laboratory teaching exploration in local universities

Mei Liu   

  1. School of Chemistry and Life Science, Changchun University of Technology, Changchun 130012, Jilin Province, China
  • Received:2026-03-03 Accepted:2026-03-31
  • Contact: Mei Liu E-mail:liumei@ccut.edu.cn

PDF

80

赞

摘要： 针对地方高校无机化学实验教学资源短缺、模式固化、评价单一等问题，探讨AI应用路径。分析AI在辅助教学、虚拟仿真、智能评估等方面的优势，本文提出“AI+实验教学”分阶段方案，并以酸碱滴定实验为例进行设计。本文认为，AI技术有望突破资源瓶颈，实现个性化学习与精准评价，为地方高校实验教学改革提供方案参考。

关键词: 人工智能, 无机化学, 实验教学, 教学改革, 地方高校

Abstract: To address the challenges of limited resources, rigid teaching models, and simplistic evaluation methods in inorganic chemistry laboratory instruction at local universities, this study investigates the application of artificial intelligence (AI) technologies. The paper analyzes AI's advantages in supporting instruction, virtual simulation, and intelligent assessment systems. A phased "AI + Laboratory Teaching" implementation framework is proposed, with detailed demonstration using acid-base titration experiments as a case study. The findings suggest that AI technology can potentially overcome resource constraints, enable personalized learning, facilitate precise performance evaluation, and provide innovative solutions for laboratory teaching reform in regional higher education institutions.

Key words: Artificial intelligence, Inorganic chemistry, Laboratory teaching, Teaching reform, Local university