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Big data analytics for MOOC video watching behavior based on Spark

  • Hui Hu
  • Guofeng Zhang
  • Wanlin Gao
  • Minjuan Wang
Multi-Source Data Understanding (MSDU)
  • 39 Downloads

Abstract

The purpose of this study is to measure the effectiveness of courses delivered using MOOCs in China Agricultural University. Video watching is considered to be the most important way to disseminate knowledge in Massive Open Online Course (MOOC). Its mission is to understand the degree of students’ learning engagement and to provide suggestions for teachers to construct courses. This paper proposes the analysis methods of students’ video watching behavior in MOOCs platform and verifies it with the data of the cauX platform. Initially, a detailed statistical analysis of video watching data and behavior was performed. Later, data preprocessing algorithms based on Spark platform were developed and used to calculate the number of video watching behaviors in every hour and every minute. Then, the entropy weight method was used to calculate the weight of pause video, seek video and speed change video. Finally, we analyze and discuss the results of experiment. The results show that the proposed method based on Spark platform can quickly and accurately analyze the characteristics of video watching behavior.

Keywords

MOOC Big data Video watching behavior Spark 

Notes

Acknowledgements

The authors would like to thank their colleagues for their support of this work. The detailed comments from the anonymous reviewers were gratefully acknowledged. This work was supported by the Beijing higher education and teaching reform project in 2014 (No. 2014-ms044).

Compliance with ethical standards

Conflict of interest

The authors declared that they have no conflicts of interest to this work.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Information and Electrical EngineeringChina Agricultural UniversityBeijingChina
  2. 2.Key Laboratory of Agricultural Informatization StandardizationMinistry of Agriculture and Rural Affairs, China Agricultural UniversityBeijingChina

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