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Optimal Allocation of Innovation and Entrepreneurship Education Resources in Colleges and Universities Based on Computer Multimedia Intelligent Network

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DOI: 10.23977/ieim.2024.070117 | Downloads: 6 | Views: 112

Author(s)

Fuliang Guo 1, Peng Yang 1

Affiliation(s)

1 School of Management Science and Engineering, Guangxi University of Finance and Economics, Nanning, Cuangxi, China

Corresponding Author

Peng Yang

ABSTRACT

Due to the current national background of "diversified entrepreneurship and innovation", education in the field of innovation and entrepreneurship (hereinafter referred to as IE) has recently become a hot topic of higher education in China. While college students use the Internet, how to better allocate learning resources in the IE field is the focus of this paper. An examination of the existing environment explained the educational needs of students in the areas of IE, as well as the current challenges and solutions facing students' education in these areas. In the introduction section, it first provided the background of the creation of university IE teaching resources, which led to the following. Then, academic research was conducted on the educational resources of IE in school and the intelligent network of computer multimedia. Finally, a summary was made. In the second part, the algorithm model of computer multimedia intelligent network utilization was established, and various algorithms were proposed to provide algorithm basis for computer multimedia intelligent network. Then, the correlation factors related to the optimal allocation of educational resources of computer multimedia intelligent network were proposed. Finally, combined with the above research, SWOT (SWOT Analysis) was used to analyze the model experiment, and the experiment was summarized and discussed in detail. The research results showed that the optimal allocation of IE education resources in school based on the computer multimedia intelligent network constructed in this paper has been improved by 7.11%.

KEYWORDS

Innovation and Entrepreneurship in Colleges and Universities, Optimal Allocation of Educational Resources, Computer Multimedia, Intelligent Network

CITE THIS PAPER

Fuliang Guo, Peng Yang, Optimal Allocation of Innovation and Entrepreneurship Education Resources in Colleges and Universities Based on Computer Multimedia Intelligent Network. Industrial Engineering and Innovation Management (2024) Vol. 7: 129-139. DOI: http://dx.doi.org/10.23977/ieim.2024.070117.

REFERENCES

[1] Pardue S L. Poultry Science Education Opportunities and Challenges: The Impact of Resource Allocation and Industry Demand . Poultry Science, 2020, 76(7): 934-938.
[2] Omoeva C, Cunha N M, Moussa W. Measuring equity of education resource allocation: An output-based approach. International Journal of Educational Development, 2021,87(6):102-492.
[3] Comsa I S, Molnar A, Tal I. A Machine Learning Resource Allocation Solution to Improve Video Quality in Remote Education. IEEE Transactions on Broadcasting, 2021,67(3):664-684.
[4] Wu Y, Chen J. Realization of Mobile Education Resource Sharing Method Based on Wireless Broadband Connection. Hindawi Limited, 2021,7(10):1-7.
[5] Han W, Li S. The Method of Allocating Resources for Ideological and Political Education in Universities Based on IoT Technology. Journal of Information & Knowledge Management, 2022, 21(2):1-7.
[6] Wang Y, Chang L. Analysis on the Regional Proportionality of Preschool Educational Resources Allocation: with the Technical Supporting of GIS. Journal of Mianyang Teachers' College, 2018,8(1):9-17.
[7] Ping M. The evaluation on efficiency of basic education resource allocationin the process of School layout ajustment: DEA analysis based on the data from 2002 to 2013 of X province. China Population, Resources and Environment, 2017,5(7):97-106.
[8] Han C, Wang M, Yan A. The Teaching Method of Basketball Training Based on Intelligent Network Multimedia Technology. Hindawi Limited, 2021,1155(10):1-7.
[9] Zhang M, Huang Y. Intelligent Auxiliary Teaching of Educational Psychology from the Perspective of Multimedia. Journal of Physics: Conference Series, 2021,10(5):1201-1205.
[10] Kumar P, Singh A K. Machine Learning for Intelligent Multimedia Analytics Techniques and Applications: Techniques and Applications. Journal of Physics: Conference Series, 2021,10(1):978-981.
[11] Chen J, Qian Y. Research on the Application of Computer Multimedia Technology in English Education and Teaching. Journal of Physics: Conference Series, 2021, 1915(3):18-32.
[12] Zhang J, Wang C, Muthu A. Computer multimedia assisted language and literature teaching using Heuristic hidden Markov model and statistical language model. Computers & Electrical Engineering, 2022, 98(3):107-715.
[13] Zhao F, Wu G, Zhou X. Application of Computer Multimedia Technology in Training and Teaching of Nursing Staff in Operating Room[C]// CIPAE 2020: 2020 International Conference on Computers, Information Processing and Advanced Education, 2020,16(10):312-316.
[14] Wang Z, He J. On Influence of Computer Multimedia Technology in Language Learning. Journal of Physics Conference Series, 2021, 1802(3):32-92.
[15] Ai H. Research on the Cultivation Mode of College Students' Innovation and Entrepreneurship Education under the Background of"Internet plus". Contemporary Education Studies (Photo),2020, 4(6):3-4.
[16] Zhong L. Research on the Practice Information System of University Students' Innovation and Entrepreneurship Based on the New Computer Technology Support. Journal of Physics: Conference Series, 2021,1744(3):32-151.
[17] Li D. Research on Innovation and Entrepreneurship of Business Education in Colleges and Universities Based on Computer Big Data Mining Technology. Journal of Physics: Conference Series, 2021, 1744(3):32-53.
[18] Hao K. Multimedia English teaching analysis based on deep learning speech enhancement algorithm and robust expression positioning. Journal of Intelligent and Fuzzy Systems, 2020, 39(3):1-13.
[19] Abbasi A A,Javed S, Shamshirband S. An intelligent memory caching architecture for data-intensivemultimedia applications. Multimedia tools and applications, 2021,80(11):16743-16761.
[20] Xincheng Z, Caiqian Z. Multimedia system and database simulation based on internet of things and cloud service platform. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 2021,40(2):2613-2624.

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