e-Learning, e-Education, and Online Training. 4th International Conference, eLEOT 2018, Shanghai, China, April 5–7, 2018, Proceedings

Research Article

E-Learning Data Mining

  • @INPROCEEDINGS{10.1007/978-3-319-93719-9_34,
        author={Yanqing Wang},
        title={E-Learning Data Mining},
        proceedings={e-Learning, e-Education, and Online Training. 4th International Conference, eLEOT 2018, Shanghai, China, April 5--7, 2018, Proceedings},
        proceedings_a={ELEOT},
        year={2018},
        month={7},
        keywords={Big data E-Learning Digital campus Data mining},
        doi={10.1007/978-3-319-93719-9_34}
    }
    
  • Yanqing Wang
    Year: 2018
    E-Learning Data Mining
    ELEOT
    Springer
    DOI: 10.1007/978-3-319-93719-9_34
Yanqing Wang1,*
  • 1: Nanjing Xiaozhuang University
*Contact email: wyq0325@126.com

Abstract

In order to effectively analyze a large number of original data, the concept of large data is proposed. Big data era has brought a new change for education. With the rapid development of education information especially digital campus network and the growing popularity of higher education, education in the field of the deployment of many of the software systems, software systems in these stores massive educational data. E-Learning produced a large number of educational data in a variety of forms. E-Learning has achieved a certain effect on the scale effect, but the support for the individual of the learners is still seriously inadequate. The new technology, represented by large data and social networks, provides a new possibility for personalized learning.