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| Application risks and correction paths of big data analysis in ideological and political education in universities |
| WEI Chengfei |
| （School of Marxism, Nanjing University of Finance & Economics, Nanjing 210023, China） |
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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.
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