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Computer Network Assisted Test of Spoken English

Lu Zuo*

Foreign Language Department, Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China

* Corresponding Author: Email: email

Computer Systems Science and Engineering 2019, 34(6), 319-323. https://doi.org/10.32604/csse.2019.34.319

Abstract

With the development of computer network technology, the means of foreign language teaching have changed. Computer aided spoken English test is a new test method, and there is a great advantage compared with the traditional oral test. In order to further understand the superiority of the computer aided spoken English test, this study took the sophomores of Foreign Language Department in Henan University of Chinese Medicine, China, as the subjects and carried out the traditional interview-type spoken English test and computer-assisted spoken English test. The score system based on Hidden Markov Model (HMM) was used, and then the two tests were carried out. The performance in the two tests was compared, and the attitudes of the participants to the computer assisted Spoken English test were analyzed in the form of questionnaires. The results showed that the computer aided spoken English test could better reflect the true level of the students, and the teachers and students clearly stated that the computer aided spoken English test could relieve tension and reduce the burden of teachers. The research verified the feasibility of the computer-assisted spoken English test, which provides a reference for the promotion of the computer-assisted spoken English test.

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Cite This Article

APA Style
Zuo, L. (2019). Computer network assisted test of spoken english. Computer Systems Science and Engineering, 34(6), 319-323. https://doi.org/10.32604/csse.2019.34.319
Vancouver Style
Zuo L. Computer network assisted test of spoken english. Comput Syst Sci Eng. 2019;34(6):319-323 https://doi.org/10.32604/csse.2019.34.319
IEEE Style
L. Zuo, “Computer Network Assisted Test of Spoken English,” Comput. Syst. Sci. Eng., vol. 34, no. 6, pp. 319-323, 2019. https://doi.org/10.32604/csse.2019.34.319

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cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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