Application of digital intelligent communication technology in contemporary comparative education methodology

Abstract

Traditional comparative education methods are highly subjective, and there is a strong individual subjective will in the actual application process, so the research results are relatively subjective. Simultaneously, there are also great controversies in the academic circles about the application of comparative education. The traditional comparative education method is highly subjective, and there is a strong individual subjective will in the process of practical application, so the research results are relatively subjective. At the same time, there are also great disputes about the application of comparative education in academia. In order to overcome the subjectivity of traditional comparative education methods and solve the disputes over the application of comparative education. In the era of intelligent digitalization, computer technology can be used to conduct applied research on contemporary comparative education. In the study of educational methodology, this paper uses digital processing to analyze the three-dimensional space of educational methods, and combines graphic and image analysis to perform intelligent text recognition and semantic analysis. Moreover, this paper combines machine learning for semantic understanding and automatic comparison of educational methods through the system. In addition, this paper combines the actual needs of comparative education to construct the functional structure of the system, and analyzes the performance of the system with experimental research. From the research results, it can be seen that the model constructed in this paper has a better effect.