Nowadays, colleges and universities have a large amount of information about political thought and education in addition to complex student data. Like big data, it has the characteristics of large capacity, high speed, and diversity. The ideological and political education in colleges and universities urgently needs scientific decision-making and the ability to predict possible problems ahead of time. It also perfectly matches the technical advantages of big data technology that can efficiently process data, analyze and extract information, as well as propose solutions. The traditional higher education model can no longer meet the needs of current international higher education. Under the new background, universities must explore a new model of postgraduate international education, which is practical, multi-channel, and comprehensive, on a deeper level. According to data on graduate students’ interest, psychology, and behavior, higher education teachers can purposefully innovate the methods and approaches to higher education. The integration of international graduate education with big data has been examined in this research, and a series of cultural exchanges has been carried out for foreign students at Central South University. This kind of introduction seems to have effectively boosted the attractiveness of ideological and political education, improved the research level of international graduate students, and deepened the role of campus cultural activities in educating people on a deeper level.
Application of Computer Big Data in the Development of Ideological and Political Education in Colleges and Universities
