Empirical Research on Talent Training Mode Based on DEA Data Model

DOI

10.2991/978-94-6463-242-2_33How to use a DOI?

Keywords

DEA model; data analysis; the cultivation of talents; empirical research

Abstract

Since improving the quality of education is an important task for the development of the vocational education service industry, the talent training mode has become a research hotspot nowadays. Previous research on the evaluation of training modes is carried out from the perspective of educational macro-management. To this end, this research uses the DEA (data envelopment analysis) data model to construct the performance evaluation index of vocational education talent training, evaluates the effectiveness through empirical research, and provides a good identification method and improvement plan for the problems of redundant input resources and low talent output rate in the school talent cultivation, thereby proposing measures to solve the problems.

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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TY  - CONF
AU  - Jiaping Zhu
PY  - 2023
DA  - 2023/09/22
TI  - Empirical Research on Talent Training Mode Based on DEA Data Model
BT  - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
PB  - Atlantis Press
SP  - 264
EP  - 272
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-242-2_33
DO  - 10.2991/978-94-6463-242-2_33
ID  - Zhu2023
ER  -