Feature Extraction and Learning Effect Analysis for MOOCs Users Based on Data Mining

Authors

  • Yajuan Li Xi'an International University, Department of Teaching and Scientific Research of Ideological and Political Theory Course

DOI:

https://doi.org/10.3991/ijet.v13i10.9456

Keywords:

massive open online course (MOOC), Feature extraction, Machine learning, Learning behaviour analysis

Abstract


This paper has been withdrawn on request of the author(s).

Author Biography

Yajuan Li, Xi'an International University, Department of Teaching and Scientific Research of Ideological and Political Theory Course

Yajuan Li is a lecturer at the Xi'an International University. She has been engaged in ideological and political theory teaching and scientific research for more than ten years. Her research field is mainly about the reform of theory and practice of ideolog-ical and political education in colleges and universities. She has published 5 high-quality academic papers, and has hosted and participated in 8 research projects.

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Published

2018-10-26

How to Cite

Li, Y. (2018). Feature Extraction and Learning Effect Analysis for MOOCs Users Based on Data Mining. International Journal of Emerging Technologies in Learning (iJET), 13(10), pp. 108–120. https://doi.org/10.3991/ijet.v13i10.9456

Issue

Vol. 13 No. 10 (2018)

Section

Papers