The Application of Cloud Computing Intelligent Optimization Algorithm in the Investigation of College Students’ English Autonomous Learning under the Multimedia Teaching Mode

Autonomous learning is what college students need to learn. For some students who have difficulties in self-study, this paper develops a cloud computing intelligent optimization algorithm in the multimedia teaching mode of college students’ English autonomous learning system. This platform can help...

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Autores principales: Hengxi Wang, Jing Xu
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/38545ac34ef9487d8d0e04ce49c9d7d0
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spelling oai:doaj.org-article:38545ac34ef9487d8d0e04ce49c9d7d02021-11-08T02:35:31ZThe Application of Cloud Computing Intelligent Optimization Algorithm in the Investigation of College Students’ English Autonomous Learning under the Multimedia Teaching Mode1875-905X10.1155/2021/7737199https://doaj.org/article/38545ac34ef9487d8d0e04ce49c9d7d02021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7737199https://doaj.org/toc/1875-905XAutonomous learning is what college students need to learn. For some students who have difficulties in self-study, this paper develops a cloud computing intelligent optimization algorithm in the multimedia teaching mode of college students’ English autonomous learning system. This platform can help self-learners learn translation, listening, speaking, and other skills. At the same time, the platform also includes a self-assessment system including diagnostic evaluation, formative evaluation, and summative evaluation. The final test shows that the recognition rate of the system can reach more than 95%, which can meet the needs of use.Hengxi WangJing XuHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Telecommunication
TK5101-6720
spellingShingle Telecommunication
TK5101-6720
Hengxi Wang
Jing Xu
The Application of Cloud Computing Intelligent Optimization Algorithm in the Investigation of College Students’ English Autonomous Learning under the Multimedia Teaching Mode
description Autonomous learning is what college students need to learn. For some students who have difficulties in self-study, this paper develops a cloud computing intelligent optimization algorithm in the multimedia teaching mode of college students’ English autonomous learning system. This platform can help self-learners learn translation, listening, speaking, and other skills. At the same time, the platform also includes a self-assessment system including diagnostic evaluation, formative evaluation, and summative evaluation. The final test shows that the recognition rate of the system can reach more than 95%, which can meet the needs of use.
format article
author Hengxi Wang
Jing Xu
author_facet Hengxi Wang
Jing Xu
author_sort Hengxi Wang
title The Application of Cloud Computing Intelligent Optimization Algorithm in the Investigation of College Students’ English Autonomous Learning under the Multimedia Teaching Mode
title_short The Application of Cloud Computing Intelligent Optimization Algorithm in the Investigation of College Students’ English Autonomous Learning under the Multimedia Teaching Mode
title_full The Application of Cloud Computing Intelligent Optimization Algorithm in the Investigation of College Students’ English Autonomous Learning under the Multimedia Teaching Mode
title_fullStr The Application of Cloud Computing Intelligent Optimization Algorithm in the Investigation of College Students’ English Autonomous Learning under the Multimedia Teaching Mode
title_full_unstemmed The Application of Cloud Computing Intelligent Optimization Algorithm in the Investigation of College Students’ English Autonomous Learning under the Multimedia Teaching Mode
title_sort application of cloud computing intelligent optimization algorithm in the investigation of college students’ english autonomous learning under the multimedia teaching mode
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/38545ac34ef9487d8d0e04ce49c9d7d0
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