Action of College Chinese Education and Information Fusion Teaching Based on the Background of Big Data

Abstract

In order to meet the needs of the development of the times and the cultivation of innovative talents, various countries have carried out a series of educational reforms. It seeks more diversified talent training methods through innovative education and teaching methods. With the development of science and technology and the diversification of information, the integration of multilevel, distributed, and massive information has become the development direction of various disciplines. Therefore, this research is based on the background of big data, exploring the way of university Chinese education and information fusion teaching under the education reform and helping students establish a systematic subject knowledge system. This article chooses two parallel classes of similar level as the experimental group and the control group. It analyzes the results of the four aspects of the students’ ancient and modern language and writing analysis, college students’ Chinese reading comprehension, college students’ Chinese writing application, and college students’ language expression and communication through test papers. The experimental results of this article show that the $P$ values of these four aspects are all less than 0.05, indicating that the learning effect of the experimental group is higher than that of the control group.