Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

Research on performance evaluation of specialty construction based on Data Mining

Authors
FengLin Qu1, *
1Chengdu Agricultural Technology Vocational College, Chengdu, 611130, China
*Corresponding author. Email: 396280794@qq.com
Corresponding Author
FengLin Qu
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_89How to use a DOI?
Keywords
Higher vocational colleges; professional construction; evaluation index
Abstract

Building a performance evaluation index system for professional construction of "double high" colleges is the need to promote and improve the construction and management of the national "double high plan", it is the need to High quality complete the "double high plan" of construction goals, and It also the need to Innovate and enrich performance index evaluation system of vocational colleges. This paper establishes an index system structure including 6 primary indicators, 23 secondary indicators and 50 monitoring points from six aspects: student source and scale, school enterprise cooperation, professional teaching guarantee conditions, professional teaching and construction, scientific research and social services. Use the talent training status data for data extraction and analysis, provide support for professional (Group) construction decision-making, and improve the refinement and digitization of management services.With the data mining of talent training status data in Higher Vocational Colleges in the construction of double high plan, the application of other levels may be affected by the results of this research project, which has played an important role in promoting the modernization of university governance system and governance ability.

Copyright
© 2024 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 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-262-0_89
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_89How to use a DOI?
Copyright
© 2024 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  - FengLin Qu
PY  - 2023
DA  - 2023/10/09
TI  - Research on performance evaluation of specialty construction based on Data Mining
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 853
EP  - 863
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_89
DO  - 10.2991/978-94-6463-262-0_89
ID  - Qu2023
ER  -