人工智能驱动的化学教学组织形式创新路径探究

引用本文: 马逍, 王俊杰, 陈鑫, 李京城, 赵丽红, 孙雪萍, 程绍娟, 王芳. 人工智能驱动的化学教学组织形式创新路径探究[J]. 大学化学, 2025, 40(9): 99-106. doi: 10.12461/PKU.DXHX202410085 shu

Citation: Xiao Ma, Junjie Wang, Xin Chen, Jingcheng Li, Lihong Zhao, Xueping Sun, Shaojuan Cheng, Fang Wang. Exploring Innovative Approaches to Chemistry Instructional Organization Driven by Artificial Intelligence[J]. University Chemistry, 2025, 40(9): 99-106. doi: 10.12461/PKU.DXHX202410085 shu

人工智能驱动的化学教学组织形式创新路径探究

洛阳理工学院能源与化工学院, 河南洛阳 471023

通讯作者: 王芳,E-mail:wangfang1116@163.com

基金项目:
洛阳理工学院高层次人才启动项目(2019BZ18)；洛阳理工学院教改项目重点项目A类(2021JYZK-008)；洛阳理工学院教改项目一般项目(2019JYYB-30)；洛阳理工学院2021年度课程思政专项建设项目(物理化学)(2021KCSZ-001)；洛阳理工学院2024年度校级“专创融合”课程项目(物理化学)

摘要: 本文探讨了人工智能(AI)技术在化学教学组织形式中的创新路径，并通过具体的案例来揭示AI如何改变传统教学。针对传统化学教学中的不足，提出了基于AI技术的自适应学习系统、智能实验平台与虚拟实验室，以及合作学习与智能协作三大创新路径。自适应学习系统通过个性化数据分析，为学生动态调整学习路径，解决了“一刀切”教学模式的问题；虚拟实验室和智能实验平台则打破了物理实验的局限，为学生提供安全、灵活的实验操作环境；智能协作工具在合作学习中优化了分组方式，并通过实时反馈提升学习效率。然而，上述创新路径在推广过程中仍面临教育资源分配不均、教师技术掌握不足等挑战。本文建议通过优化资源配置、强化教师培训和推动虚拟与传统教学结合，进一步提升AI技术在化学教育中的应用效果。展望未来，AI技术将继续为化学教学提供创新动力，推动教育模式的智能化转型，为实现教育公平和教学质量的提升提供重要支持。

关键词:

English

Exploring Innovative Approaches to Chemistry Instructional Organization Driven by Artificial Intelligence

School of Energy and Chemical Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, Henan Province, China

Corresponding author: Fang Wang, wangfang1116@163.com

Received Date: 22 October 2024
Accepted Date: 18 December 2024
Available Online: 03 June 2025

Abstract: This paper investigates innovative approaches to organizing chemistry instruction through the application of artificial intelligence (AI) technology, utilizing specific case studies to demonstrate how AI can transform traditional teaching methods. To address the shortcomings of conventional chemistry education, we propose three primary innovation pathways based on AI technology: adaptive learning systems, intelligent experimental platforms, virtual laboratories, and collaborative learning enhanced by intelligent coordination. Adaptive learning systems leverage personalized data analysis to dynamically tailor learning pathways for students, effectively addressing the limitations of “one-size-fits-all” teaching models. Virtual laboratories and intelligent experimental platforms transcend the constraints of physical experiments by providing students with a safe and flexible environment for conducting experiments. Additionally, intelligent collaboration tools optimize group dynamics in cooperative learning settings, enhancing learning efficiency through real-time feedback. Nevertheless, the implementation of AI technology in chemical education faces challenges, including the uneven distribution of educational resources and inadequate technological proficiency among educators. This paper recommends addressing these challenges by optimizing resource allocation, strengthening teacher training, and integrating virtual and traditional teaching methods to enhance the effectiveness of AI applications in chemistry education. Looking ahead, AI technology is poised to continue driving innovation in chemical education, facilitating the intelligent transformation of instructional methods, and playing a crucial role in promoting educational equity and improving teaching quality.

Key words:

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沈阳化工大学材料科学与工程学院沈阳 110142

人工智能驱动的化学教学组织形式创新路径探究

通讯作者: 王芳,E-mail:wangfang1116@163.com

English

Exploring Innovative Approaches to Chemistry Instructional Organization Driven by Artificial Intelligence

Corresponding author: Fang Wang, wangfang1116@163.com

CCS Chemistry：嵌段共聚物自组装成 “三明治”二维有机材料，实现纳米级压力传感功能

CCS Chemistry：颜徐州、鲍哲南：你的皮肤可能是一片SPMs

CCS Chemistry：工作高效不疲劳，只须让催化剂动起来

CCS Chemistry：静电组装导向聚合- 聚电解质纳米凝胶量化制备新策略

CCS Chemistry：金黄色葡萄球菌醛基脱氢酶是如何识别特异性底物的？

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通讯作者: 陈斌, bchen63@163.com

中国化学会秘书处

人工智能驱动的化学教学组织形式创新路径探究

通讯作者: 王芳,E-mail:wangfang1116@163.com

English

Exploring Innovative Approaches to Chemistry Instructional Organization Driven by Artificial Intelligence

Corresponding author: Fang Wang, wangfang1116@163.com

CCS Chemistry：嵌段共聚物自组装成 “三明治”二维有机材料，实现纳米级压力传感功能

CCS Chemistry：颜徐州、鲍哲南： 你的皮肤可能是一片SPMs

CCS Chemistry：工作高效不疲劳，只须让催化剂动起来

CCS Chemistry：静电组装导向聚合- 聚电解质纳米凝胶量化制备新策略

CCS Chemistry：金黄色葡萄球菌醛基脱氢酶是如何识别特异性底物的？

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通讯作者: 陈斌, bchen63@163.com

中国化学会秘书处

CCS Chemistry：颜徐州、鲍哲南：你的皮肤可能是一片SPMs