基于化学数据库和神经网络的中学化学教学与项目化学习  

Teaching and Project-Based Learning of Middle School Chemistry Based on Chemical Database and Neural Network Method

作　　者：唐元杰 TANG Yuan-Jie(Shandong Yinan Second Middle School,Yinan 276300,China)

机构地区：[1]山东省沂南县第二中学,山东沂南276300

出　　处：《化学教育（中英文）》2022年第1期110-114,共5页Chinese Journal of Chemical Education

摘　　要：以碳热还原和化学材料智能搜索为素材,将化学数据库和机器学习方法与讲授式教学模式有机结合。木炭燃烧和还原CuO的案例致力于增强学生对化学反应能量变化和平衡移动的认知。基于神经网络的科研实践对发展问题导向式的研学课堂具有重要启示。Taking carbothermic reduction and intelligent search of chemical materials as background,this paper combines traditional lecture-based teaching methods with chemical databases and machine learning.The case of carbon combustion and its thermal reduction of CuO is helpful to deepen the understanding of energy change and balance movement of chemical reactions.The research practice based on neural network has important enlightenment for the development of problem-oriented research classroom.

关 键 词：化学数据库 机器学习 化学平衡 热力学 新材料搜索 

分 类 号：G633.8[文化科学—教育学] G434