Research on the Optimization of International News Communication Teaching Mode Based on Cluster Analysis under the Background of Big Data

Abstract

With the rapid development of the Internet, the new and advanced teaching mode is becoming increasingly popular, which has become a focus in the field of education in recent years. Therefore, the research and development of online teaching platforms have become a hot topic. This article takes international news communication as the research background, aiming at the unclear existing level and weak target. The teaching mode of the single teaching form puts forward the “embedded online intelligent teaching platform.” A set of online innovative teaching platforms for large embedded systems is studied and established. The improved clustering analysis uses the GBKM clustering analysis algorithm to integrate grid clustering and K-means clustering and introduces the new meshing algorithm and the new function to calculate the density threshold. Through theoretical analysis and experimental verification, the superiority of the GBKM algorithm is demonstrated. As the GBKM clustering analysis algorithm is the core algorithm of a personalized smart learning system, it is applied to an online intelligent teaching platform. The experimental results show that the teaching effect of the optimized teaching mode is significantly improved.