MOOC Education Mode of PE Public Curriculum in Colleges and Universities Based on Data Mining

2018 ◽  
Keyword(s):  
Data Mining ◽  
Colleges And Universities ◽  
Public Curriculum

The Way of Integrating Art Appreciation Course into the Talent Cultivation of Tobacco Profession

2021 ◽  
Vol 7 (6) ◽  
pp. 6207-6212
Author(s):  
Zou Mi ◽  
Liu Peng ◽  
Fang Lu
Keyword(s):  
Colleges And Universities ◽  
The Other ◽  
Art Appreciation ◽  
Aesthetic Quality ◽  
New Era ◽  
Training Plan ◽  
Training Quality ◽  
Public Curriculum ◽  
The One

Integrating the art appreciation course into the talent cultivation plan of tobacco profession has become the major way for colleges and universities to implement aesthetic education. This is also one of the reform measures of public curriculum in colleges and universities in the new era. By clarifying the concept connotation and policy requirements of the art appreciation course, and combining the talent training characteristics of tobacco profession, the construction of tobacco profession can be promoted. By doing this, on the one hand, it is conducive to consolidating the talent training plan of tobacco profession. On the other hand, it can cultivate the artistic ability of students majoring in tobacco, expand their artistic knowledge, and effectively build up their aesthetic quality and artistic level. As the consequence, the talent training quality of tobacco profession can be improved.

The Application of Apriori Algorithm in Analysis on Admitted Students of Colleges and Universities

2013 ◽  
Vol 321-324 ◽  
pp. 2578-2582
Author(s):  
Qian Zhang
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Colleges And Universities ◽  
Apriori Algorithm ◽  
Data Mining Techniques ◽  
Minimum Support ◽  
Sample Data ◽  
Mining Association Rules

This paper examined the application of Apriori algorithm in extracting association rules in data mining by sample data on student enrollments. It studied the data mining techniques for extraction of association rules, analyzed the correlation between specialties and characteristics of admitted students, and evaluated the algorithm for mining association rules, in which the minimum support was 30% and the minimum confidence was 40%.

Construction of Question Chain Data Center Systems Supported of Data Mining

2012 ◽  
Vol 532-533 ◽  
pp. 1324-1328
Author(s):  
Li Liang
Keyword(s):  
Data Mining ◽  
Political Theory ◽  
Data Center ◽  
Colleges And Universities ◽  
Future Perspective ◽  
Teaching Reform ◽  
The Future

Data mining is a kind of technology to analyze and treat information. From the current, as well as the future perspective of teaching reform in colleges and universities, the construction of question chain data center systems under the support of data mining technical by the means of question logic will enhance the effectiveness of the teaching of Ideological and political theory courses.

The Effect of Multimedia Teaching Model of Music Course in Colleges and Universities Based on Classroom Audio Data Mining Technology

2021 ◽  
Vol 7 (5) ◽  
pp. 4520-4531
Author(s):  
Fang Wang
Keyword(s):  
Data Mining ◽  
Visual Information ◽  
Rapid Development ◽  
Colleges And Universities ◽  
Mining Technology ◽  
Teaching Mode ◽  
Multimedia Teaching ◽  
College Music ◽  
Audio Data ◽  
Audio Files

Objectives: With the rapid development of information technology, multimedia teaching mode carries a large amount of audio-visual information, quickly occupies the music classroom in Colleges and universities, and becomes the mainstream teaching mode of music teaching in Colleges and universities. Methods: Based on this, this study uses classroom audio data mining technology to analyze the effect of multimedia teaching mode of music courses in Colleges and universities. The method of audio data mining is analyzed in college music multimedia classroom. The advanced embedded SOPC system is used to decode the MP3 audio files played in music courses by combining software and hardware. The performance of the multimedia teaching system in college music courses is optimized. Results: The hardware resources are made use of the flexibility of SOPC (System-on-a-Programmable-Chip) system. Reasonable allocation achieves the optimal design of teaching mode. Finally, the superiority of the algorithm is verified by testing. The test results show that the decoding speed and efficiency of audio files can be significantly improved by combining hardware and software. Conclusion: At the same time, the system has greater flexibility and expandable space, which can effectively promote the multimedia teaching effect of music courses in Colleges and universities. The research in this paper is helpful to the flexible transformation of multimedia teaching mode of music courses in Colleges and universities, and provides an important reference for the popularization of multimedia and the wide use of data mining technology in music courses in Colleges and universities.

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