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

Application risks and correction paths of big data analysis in ideological and political education in universities

大数据分析应用于高校思想政治教育领域能够推动高校思想政治教育普惠扩容、因材施教和扩优一体,但同时也可能面临隐私泄露、数据崇拜、数字鸿沟等诸多风险。基于此,相关主体要保护高校思想政治教育过程的数据隐私,坚持思想政治教育体系以生为本,弥合思想政治教育生态的数字鸿沟,以此来确保大数据分析能够被充分、有效且广泛地运用于高校思想政治教育工作中,使之成为高校思想政治教育转型发展的重要源动力。

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 student-oriented,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.