Research On The Logic And Optimization Path Of Big Data Empower College Student Management

Big data is transforming our lives,work,and thinking,ushering in a significant transformation of the times.Big data empowers the development of college not only in promoting curriculum teaching and scientific research,but also in significantly promoting student management in college.Meanwhile,empowering college student management with big data is not only an inevitable requirement in the era of big data,but also an important lever for innovation in college student management in the new era.Empowering college student management with big data is a complex system engineering that needs to be analyzed from multiple dimensions such as the internal connection between big data and college student management,the value functions and application scenarios of big data empowerment,to accurately grasp the profound connotation of big data empowering college student management,and to systematically answer the significance,conceptual connotation,value exploration,and practical difficulties of big data empowering college student management Optimize the path and other five key logical issues,in order to achieve deep integration of big data empowering college student management and improve the modernization level of college student management.Empowering college student management with big data is not automatically generated or natural,but rather faces many practical problems and challenges,including dataism in big data applications,fuzzy quantitative boundaries in big data collection,distortion in big data mining and storage,responsibility allocation in big data decision-making,and privacy concerns in big data applications,We need to build a new model and mechanism for student management in college in the era of big data.The reasons for these problems are systematic and diverse,including the lack of institutional design for big data empowerment,the constraints on data quality,the barriers to big data co construction and sharing,the lack of standards and specifications for big data integration,and the lack of talent for big data analysis in college.By exploring the root cause of the problem of empowering college student management with big data,the current main work is to promote the improvement of quality and efficiency in empowering college student management with big data.From five aspects of data thinking,data quality,data sharing,data talent,and data supervision,we will break the practical bottleneck of big data application and fully stimulate the effectiveness of big data empowerment.The specific measures mainly include: firstly,enhancing big data thinking and promoting the construction of the top-level system of big data;Secondly,improve the quality of big data and timely screen and update big data resources;Thirdly,optimize the big data environment and accelerate the circulation and sharing of departmental big data;Fourthly,strengthen the utilization of big data and cultivate talent for big data analysis;Fifth,strengthen big data supervision and improve the big data security guarantee mechanism.