Abstract 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.
TANG Yuan-Jie. Teaching and Project-Based Learning of Middle School Chemistry Based on Chemical Database and Neural Network Method[J]. Chinese Journal of Chemical Education, 2022, 43(1): 110-114.
