Abstract：The application of big data analysis in the field of ideological and political education in universities can promote the integration of inclusive expansion, individualized teaching, quality and efficiency integrated of ideological and political education in universities, while gradually exposing many application risks such as privacy disclosure, only data is followed, and digital divide. It emphasizes guaranteeing data privacy, adhering to the studentoriented, and bridging the digital divide so that big data analysis can be fully, effectively, and widely applied, making it an important source of power for the transformation and development of ideological and political education.
卫承霏. 大数据分析在高校思想政治教育中的应用风险与纠偏路径[J]. 高校教育管理, 2023, 17(6): 12-20.
WEI Chengfei. Application risks and correction paths of big data analysis in ideological and political education in universities. Journal of Higher Education Management, 2023, 17(6): 12-20.
