Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

Research on Apprenticeship of Hyaluronic Acid Industry Chain in Biopharmaceutical Specialty Based on Big Data Statistical Analysis and SPSS Software

Authors
Xiangzhen Cui1, *, Hongyu Shi1, Limei Song1
1Shandong Institute of Commerce and Technology, Jinan, Shandong, China
*Corresponding author. Email: cxzjinan@163.com
Corresponding Author
Xiangzhen Cui
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-024-4_95How to use a DOI?
Keywords
Data statistical analysis; SPSS Software; Biopharmaceutical technology; Apprenticeship; Hyaluronic acid industry
Abstract

The apprenticeship teaching reform of biopharmaceutical specialty in Shandong Institute of Commerce and Technology was carried out based on hyaluronic acid industry. The self-developed hyaluronic acid industry chain data analysis and management platform is used for research The model processing was carried out with the help of big data, and the statistical analysis index system was constructed. Through the use of big data statistical analysis, the industry chain distribution of hyaluronic acid was summarized, and the curriculum was set based on the industry chain. Taking 70 students majoring in biopharmaceutical technology in Shandong Institute of Commerce and Technology of Commerce as the research objects, the influence of modern apprenticeship based on hyaluronic acid industry on learning satisfaction of higher vocational students was investigated by the self-developed intelligent questionnaire editing software for hyaluronic acid industry chain. SPSS 21.0 was used to analyze the survey results. It was found that participating in modern apprenticeship can significantly improve the employability of higher vocational students, and the longer the time of participating in modern apprenticeship, the higher the satisfaction with modern apprenticeship. The correlation study between overall satisfaction and various satisfaction shows that job skill ability satisfaction mainly affects the overall satisfaction of apprenticeship. Based on this, we further put forward relevant suggestions to promote the development of modern apprenticeship.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
12 December 2022
ISBN
10.2991/978-94-6463-024-4_95
ISSN
2589-4900
DOI
10.2991/978-94-6463-024-4_95How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xiangzhen Cui
AU  - Hongyu Shi
AU  - Limei Song
PY  - 2022
DA  - 2022/12/12
TI  - Research on Apprenticeship of Hyaluronic Acid Industry Chain in Biopharmaceutical Specialty Based on Big Data Statistical Analysis and SPSS Software
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 907
EP  - 916
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_95
DO  - 10.2991/978-94-6463-024-4_95
ID  - Cui2022
ER  -