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基于云的英语多媒体在高校试题建模中的应用。

Cloud-Based English Multimedia for Universities Test Questions Modeling and Applications.

机构信息

Department of Economic Management, Dongchang College of Liaocheng University, Liaocheng, Shandong 252000, China.

Liaocheng Yucai School, Liaocheng, Shandong 252000, China.

出版信息

Comput Intell Neurosci. 2022 Sep 10;2022:4563491. doi: 10.1155/2022/4563491. eCollection 2022.

DOI:10.1155/2022/4563491
PMID:36124116
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9482472/
Abstract

This study constructs a cloud computing-based college English multimedia test question modeling and application through an in-depth study of cloud computing and college English multimedia test questions. The emergence of cloud computing technology undoubtedly provides a new and ideal method to solve test data and paper management problems. This study analyzes the advantages of the Hadoop computing platform and MapReduce computing model and builds a distributed computing platform based on Hadoop using universities' existing hardware and software resources. The study analyzes the advantages of the Hadoop computing platform and the MapReduce computing model. The UML model of the system is given, the system is implemented, the system is tested functionally, and the results of the analysis are given. Multimedia is the critical link to realizing the optimization of English test questions. The proper use of multimedia test questions will undoubtedly become an inevitable trend in the development of English test questions in the future, which requires every worker on the education front to continuously analyze and study the problems arising from multimedia teaching, summarize the experience of multimedia teaching, and explore new methods of multimedia teaching, so that multimedia teaching can better promote the optimization of English test questions in colleges and universities and better serve the education teaching.

摘要

本研究通过深入研究云计算和大学英语多媒体试题,构建了基于云计算的大学英语多媒体试题建模与应用。云计算技术的出现无疑为解决考试数据和试卷管理问题提供了一种新的理想方法。本研究分析了 Hadoop 计算平台和 MapReduce 计算模型的优势,利用高校现有的软硬件资源构建了基于 Hadoop 的分布式计算平台。给出了系统的 UML 模型,实现了系统,对系统进行了功能测试,并给出了分析结果。多媒体是实现英语试题优化的关键环节。多媒体试题的合理使用无疑将成为未来英语试题发展的必然趋势,这就要求教育战线的每一位工作者不断分析和研究多媒体教学中出现的问题,总结多媒体教学经验,探索多媒体教学新方法,使多媒体教学能够更好地促进高校英语试题的优化,更好地为教育教学服务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/ce4ed346d3bc/CIN2022-4563491.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/69f0890384b8/CIN2022-4563491.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/6b3bd1190475/CIN2022-4563491.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/586e4b1c1f3c/CIN2022-4563491.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/5442545bd672/CIN2022-4563491.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/960cde0e175f/CIN2022-4563491.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/0b7672dd5ede/CIN2022-4563491.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/eb0358ac2ef3/CIN2022-4563491.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/ce4ed346d3bc/CIN2022-4563491.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/69f0890384b8/CIN2022-4563491.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/6b3bd1190475/CIN2022-4563491.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/586e4b1c1f3c/CIN2022-4563491.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/5442545bd672/CIN2022-4563491.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/960cde0e175f/CIN2022-4563491.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/0b7672dd5ede/CIN2022-4563491.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/eb0358ac2ef3/CIN2022-4563491.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3717/9482472/ce4ed346d3bc/CIN2022-4563491.008.jpg

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