Construction and Optimization of Talent Training Quality Based on Data Mining

Xu, Zhihua

doi:10.18280/isi.250403

Cited by 9 publications

(9 citation statements)

References 7 publications

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“…It's undeniable that there're many problems with the evaluation of vocational education in China, and there're flaws in the evaluation methods, standards, and modes. In terms of theory, the current evaluation system largely relies on the experience of other countries, especially European and American countries, in terms of practice, the current evaluation system is migrated and transferred from the evaluation system of general education [4][5][6][7][8][9]. Therefore, for the research on the evaluation of vocational education, theoretical construction and practical exploration are both new topics.…”

Section: Cipp Model and Talent Quality Evaluationmentioning

confidence: 99%

Evaluation of Talent Cultivation Quality of Modern Apprenticeship Based on Context-Input-Process-Product Model

Wei

Dai

2021

Int. J. Emerg. Technol. Learn.

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Based on context-input-process-product (CIPP) model, this paper proposed an evaluation system of the talent cultivation quality of modern apprenticeship in high vocational education schools, and applied the proposed system to evaluate the talent cultivation quality of modern apprenticeship in an example school H. The research findings of this study revealed that, on the one hand, it will greatly improve the quality of cultivated talents if the talent cultivation objectives are kept in line with the requirements of employer companies, the apprenticeship system is built according to the law of student growth and development, and there’re good apprenticeship project resources, support and management; on the other hand, it will have an adverse impact on the effect of apprenticeship projects if students’ employment willingness has not been fully motivated, or the implementation environment is poor for the apprenticeship, or the tutors in enterprises change frequently. Based on these findings, this paper proposed a few countermeasures for improving the talent cultivation quality of modern apprenticeship, that is: fully consider students’ appeals and boost their desire for employment; forge a team of enterprise tutors capable of and good at teaching; improve the quality of apprenticeship projects for junior year students; deepen the integration between industry and education and provide strong guarantee for both school education and enterprise training.

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Section: Cipp Model and Talent Quality Evaluationmentioning

confidence: 99%

Evaluation of Talent Cultivation Quality of Modern Apprenticeship Based on Context-Input-Process-Product Model

Wei

Dai

2021

Int. J. Emerg. Technol. Learn.

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“…The result is usually a multivariable, fuzzy, and complex nonlinear process, which is difficult to express through mathematical analytical expressions more accurately. Due to the inaccuracy of evaluation results, it greatly affects the role of talent evaluation in human resource management [ 6 – 9 ]. The nonlinear hierarchical optimization neural network technology is to imitate the neural structure and function of the human brain, which can deal with complex logical problems and realize nonlinear relationships.…”

Section: Introductionmentioning

confidence: 99%

Construction and Application of Talent Evaluation Model Based on Nonlinear Hierarchical Optimization Neural Network

Pei

2022

Computational Intelligence and Neuroscience

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Talent assessment attracts the attention of researchers because of its important influence on business management issues. The traditional talent evaluation model has high sample selection cost and large calculation volume ratio, so it has become an urgent problem to be solved. Based on the nonlinear hierarchical optimization neural network, this article improves the corresponding talent evaluation index system and builds a talent evaluation model on the basis of demonstrating the feasibility of using a nonlinear hierarchical optimization neural network for talent evaluation. This article conducts an empirical analysis on the talent evaluation model of the talent evaluation team members and designs a prototype system of the talent evaluation index system based on the nonlinear hierarchical optimization neural network. In the simulation process, MATLAB software is used to complete the program realization of the model, and the accuracy and feasibility of the model are verified by combining the case. Through the evaluation and research of the implementation personnel of the case enterprise, the enterprise talent evaluation based on the nonlinear hierarchical optimization neural network is demonstrated. The empirical results show that it is feasible and accurate to use the nonlinear hierarchical optimization neural network to evaluate the talent evaluation team. The comprehensive prediction accuracy rate of T-1 year is 88.5%, and the comprehensive prediction accuracy rate of T-2 year was 83.45%, which effectively promoted the evaluation of enterprise talents.

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“…At home and abroad, scholars have applied CBT in various fields [10][11][12][13][14], for instance, with the Advanced Software Engineering course as the example, Ahrend et al [15] designed learning path models for each student based on field model and learner model, and realized personalized learning content recommendation and continuous learning feedback update during the process of iterative learning. Debruyne…”

Section: Introductionmentioning

confidence: 99%

Design of an Information Management System for the Case Library of Business Management Courses

Liang

Lou

2021

Int. J. Emerg. Technol. Learn.

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The business management models are updated constantly, making it urgent to reform the teaching methods of business management courses (BMCs). Case-based teaching (CBT) is an important way to integrate the teaching and practice of business management. The construction and management of CBT resources has attracted the attention of scholars at home and abroad. This paper designed an information management system for the BMC case library. Firstly, the goals and content were summarized for the construction of the case library and the information management system. Next, the authors designed the BMC case library forms, as well as the function modules of the information management system. There are three core functions in the system: retrieval, cluster analysis, and course case allocation. At last, experimental results verified the effectiveness of the proposed case clustering algorithm and the good test performance of the established system.

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Construction and Optimization of Talent Training Quality Based on Data Mining

Cited by 9 publications

References 7 publications

Evaluation of Talent Cultivation Quality of Modern Apprenticeship Based on Context-Input-Process-Product Model

Evaluation of Talent Cultivation Quality of Modern Apprenticeship Based on Context-Input-Process-Product Model

Construction and Application of Talent Evaluation Model Based on Nonlinear Hierarchical Optimization Neural Network

Design of an Information Management System for the Case Library of Business Management Courses

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