A Teaching Quality Evaluation System of Massive Open Online Courses Based on Big Data Analysis

Authors

  • Zhifang Wang Polytechnic College, Hebei University of Science and Technology
  • Jia Liu Polytechnic College, Hebei University of Science and Technology

DOI:

https://doi.org/10.3991/ijet.v14i14.10818

Keywords:

big data, cloud computing, massive open online courses (MOOC), teaching quality evaluation system

Abstract


Massive open online courses (MOOC) transcends the time and space limits of traditional classroom teaching, and promotes the sharing of teaching resources. However, the effect of this emerging teaching mode is yet to be determined. In this paper, the big data analysis is introduced to evaluate the MOOC teaching quality. Taking several online courses as an example, a video player was de-signed to compute the learning time using the Hadoop platform. On this basis, the author constructed a teaching quality evaluation platform. In addition, the learning cost coefficient was calculated by the naive Bayesian model, and the evaluation results were analysed in details. The research findings shed practical new light on the evaluation of MOOC teaching quality.

Author Biographies

Zhifang Wang, Polytechnic College, Hebei University of Science and Technology

Zhifang Wang, female, born in April 1982, from Xingtai, Hebei, lecturer (special-ized in computer science), graduated from Hebei University of Technology, majored in pattern recognition and intelligent systems, and now works in the teaching man-agement department of Hebei University of Science and Technology. I specialize in big data analysis and research, and have been engaged in education and teaching management for many years. I have served as a lecturer in "Java Programming", "C Language Programming", "Computer Basics", "Web Design" and other courses, and have published 3 papers in related professional fields.

Jia Liu, Polytechnic College, Hebei University of Science and Technology

Jia Liu, female, born in June 1984, from Shijiazhuang, Hebei, lecturer (specialized in ideological and political education), graduated from Hebei University of Science and Technology, majored in medicinal chemistry. I had served as the director of the international exchange center of institute of technology for Hebei University of Sci-ence and Technology, and now I am the secretary for the second league branch of engineering of the institute of technology of Hebei University of Science and Tech-nology. I specialize in international talents training, international curriculum construc-tion, and college students ideological and political education management. I have been engaged in education and teaching management for many years and have taught courses such as "Ideological and Moral Cultivation and Legal Basis", "College Students Career Planning and Employment Guidance", etc. I have led and participat-ed in 10 provincial and departmental projects and published more than 20 papers and a monograph.

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Published

2019-07-24

How to Cite

Wang, Z., & Liu, J. (2019). A Teaching Quality Evaluation System of Massive Open Online Courses Based on Big Data Analysis. International Journal of Emerging Technologies in Learning (iJET), 14(14), pp. 81–91. https://doi.org/10.3991/ijet.v14i14.10818

Issue

Vol. 14 No. 14 (2019)

Section

Papers