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

Author:

Liu Manrong1,Zhang Miao1

Affiliation:

1. 1 School of Arts and Business , Xi’an Siyuan University , Xi’an , Shaanxi , , China .

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3