Chemistry course network teaching based on key information search and big data cloud platform

Abstract

At present, the theoretical and experimental teaching parts of chemistry teaching are difficult to present through online teaching, and the teaching effect is difficult to effectively improve. In order to improve the effect of online teaching of chemistry courses and discover the problems in teaching in a timely and effective manner, this paper builds the corresponding teaching system, optimizes the performance of the system with key information search and big data cloud platform, improves the data mining ability and data analysis ability, and improves the system running speed. Moreover, this article constructs functional modules according to the actual needs of chemistry course network teaching and constructs sub-modules for functional modules. The constructed model can be displayed in the form of a webpage, and the model has the ability of data mining and problem analysis of chemistry course network teaching. In addition, in order to verify the effect of the model, this paper designs experiments to analyze its performance. The research results show that the system constructed in this paper has good performance.