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<p>The analysis of the current situation of skills and training strategies of preschool students in colleges and universities is to provide more professional talents for the cause of early childhood education. This paper first gives a brief description of the association rule mining algorithm under Internet technology, gives the evaluation method of association rules, including support, confidence, and enhancement, and gives the basic process of association rule mining. Next, it is explained that the multi-objective optimization problem utilizes the objective function optimization for calculating the optimal solution, and the commonly used multi-objective optimization problem solution and the selection method of the fitness function are given. Then the principle of the whale optimization algorithm is described and explained, the whale optimization algorithm is used to optimize the objective function of association rules, and then the steps and processes of the WOA-ARM algorithm are obtained. Finally, the algorithm was used to mine the training strategy of GZ University as an example, the “situational experience” teaching and training method was proposed, and the teaching characteristics and objectives of this method were analyzed. Regarding teaching objectives, 48.75%, 32.27%, 12.39%, and 6.59% of the ratings were A, B, C, and D, respectively. This indicates that the “situational experience” teaching training is suitable for college preschool students, and there is a strong correlation between the current skills and the training strategy.</p>
</abstract>

The analysis of the current situation of skills and training strategies of preschool students in colleges and universities is to provide more professional talents for the cause of early childhood education. This paper first gives a brief description of the association rule mining algorithm under Internet technology, gives the evaluation method of association rules, including support, confidence, and enhancement, and gives the basic process of association rule mining. Next, it is explained that the multi-objective optimization problem utilizes the objective function optimization for calculating the optimal solution, and the commonly used multi-objective optimization problem solution and the selection method of the fitness function are given. Then the principle of the whale optimization algorithm is described and explained, the whale optimization algorithm is used to optimize the objective function of association rules, and then the steps and processes of the WOA-ARM algorithm are obtained. Finally, the algorithm was used to mine the training strategy of GZ University as an example, the “situational experience” teaching and training method was proposed, and the teaching characteristics and objectives of this method were analyzed. Regarding teaching objectives, 48.75%, 32.27%, 12.39%, and 6.59% of the ratings were A, B, C, and D, respectively. This indicates that the “situational experience” teaching training is suitable for college preschool students, and there is a strong correlation between the current skills and the training strategy.

Current situation and training strategies of preschool students’ skills in the Internet era

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The analysis of the current situation of skills and training strategies of preschool students in colleges and universities is to provide more professional...

Current situation and training strategies of preschool students’ skills in the Internet era

Online veröffentlicht: 14. Aug. 2023

Seitenbereich: -

Eingereicht: 20. Okt. 2022

Akzeptiert: 22. Feb. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00188

Schlüsselwörter
Association rule mining, Whale optimization algorithm, Fitness function, WOA-ARM algorithm, Preschool education

© 2023 Manrong Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Current situation and training strategies of preschool students’ skills in the Internet era

Online veröffentlicht: 14. Aug. 2023

Seitenbereich: -

Eingereicht: 20. Okt. 2022

Akzeptiert: 22. Feb. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00188

SchlüsselwörterAssociation rule mining, Whale optimization algorithm, Fitness function, WOA-ARM algorithm, Preschool education

© 2023 Manrong Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Association rule mining, Whale optimization algorithm, Fitness function, WOA-ARM algorithm, Preschool education