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Construction and Application of the Multi-Intermediate Multi-media English Oral Teaching Mode

Na Li*

Shaanxi Xueqian Normal University, 710100,Xi'an, China
Address: 101 Shenhe 2nd Road, Chang 'an District, Xi 'an City, Shaanxi Province

* Corresponding Author: Na Li,

Intelligent Automation & Soft Computing 2020, 26(4), 807-815.


The study of the English language has always been a focus of education and teaching in China. The traditional English language teaching model no longer meets the needs of modern education, especially when spoken in English. Spoken English represents the actual effect of English teaching to a certain extent. Good oral English ability reflects one's English level. The traditional oral English teaching mode is only limited to the interactive training of the oral mechanization between the teacher and student, or the non-targeted dialogue training with foreign teachers, which ignores the factors such as environment, language sense and emotion. With the development of information technology, especially the advancement of computer human-computer interaction technology, it is very necessary to fully combine oral English teaching with information technology. This paper proposes a multi-interactive multi-media teaching mode based on computer technology combined with the development of oral English teaching under Chinese characteristics. The model proposed in this paper will combine the first layer of interaction in oral English teaching, that is, classroom and extracurricular teacher-student interaction, life-and-life interaction, and vital interaction and second-level interaction, namely teacherstudent emotion, context and motivation. A comparative analysis of the actual sample test of a middle school is carried out. The experimental results show that the proposed multi-interaction strategy of spoken English is more advantageous than the traditional teaching mode.


Cite This Article

N. Li, "Construction and application of the multi-intermediate multi-media english oral teaching mode," Intelligent Automation & Soft Computing, vol. 26, no.4, pp. 807–815, 2020.


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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