University Sports Cloud Teaching Mode Under Big Data

Author(s):  
Jiong Wang
Keyword(s):  
Big Data ◽  
2021 ◽  
Vol 105 ◽  
pp. 348-355
Author(s):  
Hou Xiang Liu ◽  
Sheng Han Zhou ◽  
Bang Chen ◽  
Chao Fan Wei ◽  
Wen Bing Chang ◽  
...  

The paper proposed a practice teaching mode by making analysis on Didi data set. There are more and more universities have provided the big data analysis courses with the rapid development and wide application of big data analysis technology. The theoretical knowledge of big data analysis is professional and hard to understand. That may reduce students' interest in learning and learning motivation. And the practice teaching plays an important role between theory learning and application. This paper first introduces the theoretical teaching part of the course, and the theoretical methods involved in the course. Then the practice teaching content of Didi data analysis case was briefly described. And the study selects the related evaluation index to evaluate the teaching effect through questionnaire survey and verify the effectiveness of teaching method. The results show that 78% of students think that practical teaching can greatly improve students' interest in learning, 89% of students think that practical teaching can help them learn theoretical knowledge, 89% of students have basically mastered the method of big data analysis technology introduced in the course, 90% of students think that the teaching method proposed in this paper can greatly improve students' practical ability. The teaching mode is effective, which can improve the learning effect and practical ability of students in data analysis, so as to improve the teaching effect.


2014 ◽  
Vol 1014 ◽  
pp. 429-433
Author(s):  
Zhong Lin He ◽  
Xiao Hong Xiao ◽  
Yu Hua He

Big data is another disruptive technological revolution following cloud computing and Internet of Things (IOT) in IT field. Its dramatic growth makes enterprises gradually facing unprecedented challenges in storage architecture, and brings subversive innovation for IT enterprises. This paper presents five challenges in computer professional education under big data environment in IT field, and discusses the corresponding measures of computer specialized education from different aspects, such as the adjustment of subject content, changes of talent cultivation, innovation of teaching mode, and improvement of teachers’ quality.


2021 ◽  
Vol 9 (5) ◽  
Author(s):  
Chunhua Han

The arrival of the big data era brings not only opportunities but also challenges to statistics teaching. It is of great significance to explore the statistics teaching mode under the big data environment. Closely following the frontier of Statistics teaching research in the big data environment, this paper combs the literature on statistics teaching research in the big data environment. Through analysis, it is found that the statistics teaching should give consideration to "systematicness" and "pertinence" closely with the pace of the era, constantly cultivate big data thinking, and make good use of statistics, a "sharp tool" for mining data value, so as to better serve social development in the big data environment.


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