Design of English hierarchical online test system based on machine learning
Large amount of data are exchanged and the internet is turning into twenty-first century Silk Road for data. Machine learning (ML) is the new area for the applications. The artificial intelligence (AI) is the field providing machines with intelligence. In the last decades, more developments have bee...
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De Gruyter
2021
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oai:doaj.org-article:903f9b3f40f04d52af15bff7624825a22021-12-05T14:10:51ZDesign of English hierarchical online test system based on machine learning2191-026X10.1515/jisys-2020-0150https://doaj.org/article/903f9b3f40f04d52af15bff7624825a22021-06-01T00:00:00Zhttps://doi.org/10.1515/jisys-2020-0150https://doaj.org/toc/2191-026XLarge amount of data are exchanged and the internet is turning into twenty-first century Silk Road for data. Machine learning (ML) is the new area for the applications. The artificial intelligence (AI) is the field providing machines with intelligence. In the last decades, more developments have been made in the field of ML and deep learning. The technology and other advanced algorithms are implemented into more computational constrained devices. The online English test system based on ML breaks the shackles of the traditional paper English test and improves the efficiency of the English test. At the same time, it also maintains the fairness of English test and improves the marking speed. In order to realize an online English test system based on ML and facilitate the assessment of students’ college English courses, this paper mainly adopts relevant research and design on the main functional modules, key technologies, and functional realization of the online English test. The brand-new powerful teaching software and the online examination system can help schools to conduct more systematic and scientific management. The conclusion shows that as brand-new and powerful teaching software, the online examination system can help schools to conduct more systematic and scientific management.Wang XiahuiZhang DanAsthana AbhinavAsthana SudeepKhanna ShawetaVerma ChamanDe Gruyterarticleenglish coursesonline examination systemautomatic scoringmlaicomputational constrained devicesScienceQElectronic computers. Computer scienceQA75.5-76.95ENJournal of Intelligent Systems, Vol 30, Iss 1, Pp 793-807 (2021) |
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english courses online examination system automatic scoring ml ai computational constrained devices Science Q Electronic computers. Computer science QA75.5-76.95 |
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english courses online examination system automatic scoring ml ai computational constrained devices Science Q Electronic computers. Computer science QA75.5-76.95 Wang Xiahui Zhang Dan Asthana Abhinav Asthana Sudeep Khanna Shaweta Verma Chaman Design of English hierarchical online test system based on machine learning |
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Large amount of data are exchanged and the internet is turning into twenty-first century Silk Road for data. Machine learning (ML) is the new area for the applications. The artificial intelligence (AI) is the field providing machines with intelligence. In the last decades, more developments have been made in the field of ML and deep learning. The technology and other advanced algorithms are implemented into more computational constrained devices. The online English test system based on ML breaks the shackles of the traditional paper English test and improves the efficiency of the English test. At the same time, it also maintains the fairness of English test and improves the marking speed. In order to realize an online English test system based on ML and facilitate the assessment of students’ college English courses, this paper mainly adopts relevant research and design on the main functional modules, key technologies, and functional realization of the online English test. The brand-new powerful teaching software and the online examination system can help schools to conduct more systematic and scientific management. The conclusion shows that as brand-new and powerful teaching software, the online examination system can help schools to conduct more systematic and scientific management. |
format |
article |
author |
Wang Xiahui Zhang Dan Asthana Abhinav Asthana Sudeep Khanna Shaweta Verma Chaman |
author_facet |
Wang Xiahui Zhang Dan Asthana Abhinav Asthana Sudeep Khanna Shaweta Verma Chaman |
author_sort |
Wang Xiahui |
title |
Design of English hierarchical online test system based on machine learning |
title_short |
Design of English hierarchical online test system based on machine learning |
title_full |
Design of English hierarchical online test system based on machine learning |
title_fullStr |
Design of English hierarchical online test system based on machine learning |
title_full_unstemmed |
Design of English hierarchical online test system based on machine learning |
title_sort |
design of english hierarchical online test system based on machine learning |
publisher |
De Gruyter |
publishDate |
2021 |
url |
https://doaj.org/article/903f9b3f40f04d52af15bff7624825a2 |
work_keys_str_mv |
AT wangxiahui designofenglishhierarchicalonlinetestsystembasedonmachinelearning AT zhangdan designofenglishhierarchicalonlinetestsystembasedonmachinelearning AT asthanaabhinav designofenglishhierarchicalonlinetestsystembasedonmachinelearning AT asthanasudeep designofenglishhierarchicalonlinetestsystembasedonmachinelearning AT khannashaweta designofenglishhierarchicalonlinetestsystembasedonmachinelearning AT vermachaman designofenglishhierarchicalonlinetestsystembasedonmachinelearning |
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