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基于时变聚类抽样算法的大数据对高等教育管理的影响评估。

Impact Assessment of Big Data on Higher Education Management Based on Time-Varying Clustering Sampling Algorithm.

机构信息

School of Preschool Education, Zibo Normal College, Zibo 255130, China.

School of Industrial Engineering, Tsinghua University, Beijing 100084, China.

出版信息

Comput Intell Neurosci. 2021 Dec 14;2021:7954797. doi: 10.1155/2021/7954797. eCollection 2021.

DOI:10.1155/2021/7954797
PMID:34950201
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8691976/
Abstract

With the continuous development of social economy, education has received more and more attention. As an important part of higher education, it has been profoundly influenced by the era of data in recent years. In order to evaluate the impact of big data on higher education management, this paper introduced a time-varying lens algorithm (TLA) to analyze the business needs of teachers and education management by sorting out the business processes of education management, education thinking, and education practice. Through learning and mining the corresponding technology, improve the corresponding educational ability, and use big data to assist the management of higher education. The simulation results show that the time-varying clustering sampling algorithm is effective.

摘要

随着社会经济的不断发展,教育受到了越来越多的关注。作为高等教育的重要组成部分,近年来它受到了数据时代的深刻影响。为了评估大数据对高等教育管理的影响,本文通过梳理教育管理、教育思维和教育实践的业务流程,引入时变镜头算法(TLA)来分析教师和教育管理人员的业务需求。通过学习和挖掘相应的技术,提高相应的教育能力,并利用大数据辅助高等教育管理。仿真结果表明,时变聚类抽样算法是有效的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/aac2d4f45891/CIN2021-7954797.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/ad235723d130/CIN2021-7954797.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/f0a60b677e65/CIN2021-7954797.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/161f78a51ca6/CIN2021-7954797.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/886efee8411d/CIN2021-7954797.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/37f8a6d7b303/CIN2021-7954797.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/651fa57db80b/CIN2021-7954797.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/10f970c6113e/CIN2021-7954797.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/aac2d4f45891/CIN2021-7954797.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/ad235723d130/CIN2021-7954797.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/f0a60b677e65/CIN2021-7954797.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/161f78a51ca6/CIN2021-7954797.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/886efee8411d/CIN2021-7954797.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/37f8a6d7b303/CIN2021-7954797.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/651fa57db80b/CIN2021-7954797.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/10f970c6113e/CIN2021-7954797.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6910/8691976/aac2d4f45891/CIN2021-7954797.008.jpg

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引用本文的文献

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Comput Intell Neurosci. 2023 Aug 9;2023:9802573. doi: 10.1155/2023/9802573. eCollection 2023.

本文引用的文献

1
Evaluation of Self-management Program Outcomes: Adaptation and Testing of a Swedish Version of the Health Education Impact Questionnaire (heiQ).自我管理项目成果评估:瑞典版健康教育影响问卷(heiQ)的改编与测试
J Appl Meas. 2018;19(3):303-319.