Research On The Model Construction Of Intelligent Ideological And Political Education Of Universities In Big Data Era

Ideological and political education in universities shoulders the mission of cultivating people,and it is related to the cultivation of college students’ ideals,beliefs,spiritual pursuits and political literacy.Big data is not only a technical tool,but also a thinking concept and information asset.It promotes the transformation of research paradigm,practice form and ideological thinking of ideological and political education in universities,and provides a new entry point for innovating the model of ideological and political education.Based on this,in order to adapt to the new requirements of ideological and political education in universities under the background of the big data era,it is imperative to construct a model of intelligent ideological and political education in universities in the big data era.This research comprehensively uses qualitative method and quantitative method to implant the big data into the model construction of intelligent ideological and political education in universities.By clarifying the category and analyzing the status quo,it explores the model construction of intelligent ideological and political education in universities in the big data era,hoping to use a brand-new perspective,scientific method and divergent thinking to empower the subversive and innovative development of ideological and political education in universities.The overall framework of the dissertation is as follows:The first part is the basic analysis of the dissertation,which is the first and second chapters.Based on the background of topic selection to adapt to the transformation of the times,deepen theoretical research,and improve the level of practice,the dissertation analyzes the value of deep integration of big data and intelligent ideological and political education in universities from the dual dimensions of practice and theory.Through the analysis,induction and comparison of relevant theoretical results at home and abroad,the development space of this research has been identified.And by drawing on relevant theories in the fields of Marxism and pedagogy,and related ideological resources such as moral education and wisdom education in China and the West,the theoretical support of this dissertation is generated.The second part is the main body analysis of the dissertation,which is the third and fourth chapters.Based on the new connotation of intelligent ideological and political education in universities in the big data era,this dissertation continues to explore its characteristic performance,following principle,goal orientation and value orientation,so as to reveal the logic and internal laws of intelligent ideological and political education in the big data era.This dissertation adopts empirical research methods to investigate the reality of intelligent ideological and political education in universities in the big data era.While affirming the effectiveness of practice,the dissertation also discovers the contradictions and the root of the problems in the concept thinking,teaching content,teaching platform,teaching feedback,and talent team in intelligent ideological and political education in universities.The third part is the conclusion analysis of the dissertation,which is the fifth chapter.Adhering to the problem-oriented approach,the dissertation takes the existing problems as the basis point of strategy construction,and adopts precise policies and targeted treatments from the dimensions of thinking reconstruction,resource optimization,platform upgrading,evaluation optimization and talent cultivation.This dissertation tries to integrate the significant advantages of big data,such as accurate identification,intelligent analysis,directional push,dynamic tracking and timely feedback,into the construction elements of intelligent ideological and political education,enabling the practice and exploration of intelligent ideological and political education in colleges and universities.