Affiliation:
1. 1 Student Affairs Office, Zhujiang College , South China Agricultural University , Guangzhou , Guangdong , , China .
Abstract
Abstract
In the era of big data, different countries and regions use big data in the field of education. This paper constructs a personalized teaching model for Civics based on big data text-mining technology. Combined with the DIKW pyramid composition structure analysis, it shows how the data can be used to guide the process of teaching decisions. The frequency of Civics keywords in the teaching classroom and the key teaching content in the Civics classroom are determined using the word frequency analysis method. Similarity and KNN calculations are used to classify the students’ civics knowledge level, and personalized teaching plans are developed for their level of knowledge. The application of personalized teaching in Civics is practiced from the aspects of tracking students’ knowledge status and enhancing personalized teaching effects. The results show that the average final grade of class A in the experimental group is 102.37, and the average grade of class B in the control group is 97.37 in the final exam. Class A students have an average grade that is 5 points higher than that of class B. The average grade of students in class A is 5 points higher than that of class B. The two groups are tested using independent t-tests. The results of the two groups were subjected to independent t-test, F=7.047, p=0.00, 8<0.05, variance is not uniform. The t-test results show Sig=0.048<0.05, which indicates that there is a significant difference between the final grades of the experimental and control groups.
Subject
Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science
Reference19 articles.
1. Li, L. (2023). Effective model of the communication path conversion of ideological and political education in colleges and universities based on new media. Computer-Aided Design and Applications.
2. Xia, H. (2021). Research on innovation of ideological and political teaching mode for chemical engineering courses based on big data technology. Journal of Physics: Conference Series, 1852(3), 032001 (6pp).
3. Cuiyu, S. (2021). Thoughts and exploration on ideological and political education in geoscience courses in colleges and universities: taking course of remote sensing geology as an example. Education Study.
4. Gao, C., & Huang, Y. (2021). Development path of ideological and political education in colleges and universities from the perspective of big data.
5. Lei, X. (2015). Discussion on shaping the sound personality of college students in the ideological and political education in colleges and universities. International Journal of Technology, Management(005), 000.