The Intrinsic Mechanism and Practical Path of Big Data Driven Scientific Decision Making in Universities
Against the backdrop of the digital transformation of education,based on a review and reflection on the past decision-making models of universities,this paper analyzes the decision-making models of universities based on big data and systematically analyzes their internal mechanisms.At the same time,based on a digital perspective,it proposes a practical path for big data-driven decision making in universities from three levels:technology,business,and humanity.Research suggests that universities should build decision-making models based on big data,with data mining,acquisition,sharing,and display as the premise,forming a new type of decision-making method that is data-driven,technology embedded,platform managed,process integrated,and system collaborative,with data analysis and transformation,and using it as the core mechanisms.This decision-making model is a new expansion of the original decision-making ability of universities,and has important theoretical significance and practical value.
big datauniversitiesdecision-making abilitydigital education
NETL
NSTL
万方数据
