Study On The Application Of Big Data's Predictive Function In Ideological And Political Education

2013 is China's “big data first year”.Since then,big data has swept through various fields with its large capacity,multiple types,high value,fast speed and authenticity,which has become a research hotspot in the academic circle.As the core function of big data,it has different characteristics and advantages from traditional prediction.It has been widely valued and applied by the academic circles,and it also provides new opportunities and new ideas for the innovative development of ideological and political education.How to apply the big data forecasting function to the concrete practice of ideological and political education,explore the effective application of new models,and improve the effect of ideological and political education is the main problem of this paper.First,this paper focuses on literature analysis,and analyzes and summarizes domestic and foreign literatures on big data,big data forecasting,big data and ideological and political education,big data forecasting and ideological and political education,and ideological and political education prediction.Although the current academic circles have carried out systematic research on the opportunities and challenges brought by big data for ideological and political education,big data has been systematically studied in the application of ideological and political education,but the lack of pertinence in how big data prediction functions are applied to ideological and political education.Exploration,this provides a new direction for research.Second,on the basis of collating relevant literature,this paper systematically defines the concept of big data and big data prediction function.At the same time,it analyzes the dilemma faced by ideological and political education in the context of big data.The characteristics and advantages of big data prediction function bring value to ideological and political education.The current big data prediction function is insufficient in the application of ideological and political education.It is extremely urgent for political education to use the big data forecasting function to improve the effectiveness of education.By analyzing the application strategy of the humanities and social sciences to the big data prediction function,and supplementing the case analysis method,the 2012 US presidential election was selected,and the domestic electronic technology university and a university in Beijing used the big data prediction function to serve their respective fields.It shows that the big data prediction function is feasible in ideological and political education.Third,by referring to the ideas of applying the big data prediction function in related fields in the selected classic cases,and according to the specific process of the ideological and political education process.This paper explores how big data prediction function can be applied to ideological and political education,and theoretically envisages the specific application process in a sub-total mode: from the classification of education objects,optimization of educational programs and other ideological and political education program development links;Educational methods and carriers,prejudging ideological and moral internalization and externalization and other ideological and political education program implementation links;multi-directional feedback evaluation effects and real-time educational regulation and other ideological and political education evaluation links respectively envisioned the application steps,and based on this idea It sums up the application modes of the three ideological and political educations of intelligent computing,precision customization and instant prevention.Fourthly,according to the realization conditions of big data prediction function and the particularity of ideological and political education,this paper puts forward the guarantee measures of big data prediction function applied to ideological and political education from the four levels of team,technology,management and science to avoid potential risks.: First,the team's guarantee of thinking consciousness,technical ability and cooperation mechanism;second,the technical support of data mining tools,databases and predictive models;third,the management guarantee of data resources and forecasting technology;fourth,face the prediction error,Eliminate potential risks such as privacy leaks,power alienation,and cautionary use of preventive punishment.