Higher Education Environment Monitoring and Internationalization Strategy Model Using Big Data Analysis

Abstract

This paper creates a model based on big data, examines higher education’s internationalization approach, and simultaneously conducts research. According to the research, the method used in this work has a greater accuracy rate than numerous other well-known methodologies for assessing the risk associated with higher education internationalization strategies, with the maximum accuracy rate reaching 68.9%. It can be seen that the methodology used in this report is more suited for researching the higher education sector’s internationalization plan. Information integration management is advancing steadily in the age of big data. To ensure the standardization, informationalization, and scientificization of school education and teaching management, consideration should also be given to the organic integration and full utilization of education internationalization data in the field of higher education internationalization strategy.