Correlation Analysis of Audio and Video Based on Large Data Mining Process of Massive Open Online Course

DOI

10.2991/amcce-15.2015.143How to use a DOI?

Keywords

Data mining; Learning measurement; Target optimization; Relevance; Large data; MOOCs

Abstract

In order to meet the demand of high quality scarcity learning resource and promote the learning autonomy and learning method innovation, it needs to analyze learning process data. Based on the relevance data mining methods, this paper designs the data mining system of learning measuring model, and this system can analyze large data in the learning process. Through data learning test for MOOCs large data, the variation curve of correlation accuracy rate is obtained, realizing the optimal allocation of learning methods and learning objectives, which provides a theoretical basis for the research on large-scale MOOCs online course.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaofei Xiao
AU  - Guang Chen
AU  - Huajie Sui
PY  - 2015/04
DA  - 2015/04
TI  - Correlation Analysis of Audio and Video Based on Large Data Mining Process of Massive Open Online Course
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 1131
EP  - 1135
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.143
DO  - 10.2991/amcce-15.2015.143
ID  - Xiao2015/04
ER  -