Learning Quality Evaluation of MOOC Based on Big Data Analysis

2017 ◽  
pp. 277-286 ◽  
Author(s):  
Zihao Zhao ◽  
Qiangqiang Wu ◽  
Haopeng Chen ◽  
Chengcheng Wan
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Quality Evaluation ◽  
Big Data Analysis

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

2019 ◽  
Vol 14 (14) ◽  
pp. 81 ◽  
Author(s):  
Zhifang Wang ◽  
Jia Liu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Online Courses ◽  
Teaching Quality ◽  
Big Data Analysis ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
Teaching Resources

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.

scholarly journals Research on Higher Vocational Network Teaching Quality Evaluation System Based on Big Data Analysis

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Xue-yan Li
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Evaluation System ◽  
Online Teaching ◽  
Quality Evaluation ◽  
Teaching Quality ◽  
Big Data Analysis ◽  
Network Teaching ◽  
Quality Evaluation System ◽  
Big Data Technology

Internet technology has developed rapidly, and online teaching has become the development trend of teaching in higher vocational colleges, which is conducive to modern learning methods for students and innovative teaching models for teachers. However, online teaching is still in the preliminary stage of development, and there is no unified standard for teaching quality evaluation. For this reason, big data technology can be integrated into the evaluation of higher vocational online teaching. This article first introduces the concept of online teaching quality evaluation, and then The application advantages of big data technology in the evaluation of network teaching quality are analyzed, and the key points of the construction of a higher vocational network teaching quality evaluation system based on big data analysis are explored in detail.

Insights into seismic hazard from big data analysis of ground motion simulations

2019 ◽  
Vol 9 (1) ◽  
pp. 01-12 ◽  
Author(s):  
Kristy F. Tiampo ◽  
Javad Kazemian ◽  
Hadi Ghofrani ◽  
Yelena Kropivnitskaya ◽  
Gero Michel
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Seismic Hazard ◽  
Ground Motion ◽  
Big Data Analysis ◽  
Ground Motion Simulations

A Social Big Data Analysis on Sport Participation

2020 ◽  
Vol 25 (2) ◽  
pp. 18-30
Author(s):  
Seung Wook Oh ◽  
Jin-Wook Han ◽  
Min Soo Kim
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Sport Participation ◽  
Big Data Analysis ◽  
Social Big Data
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