Evaluation of the Effectiveness Computer-Assisted Language Teaching by Big Data Analysis

Author:

Wang Honglei1,Du Yanjiao2ORCID,Tsai Sang-Bing3ORCID

Affiliation:

1. School of Japanese Studies, Xi’an International Studies University, Xi’an, Shaanxi 710128, China

2. School of Liberal Arts, Yanching Institute of Technology, Yancheng, He Bei 065201, China

3. Regional Green Economy Development Research Center, School of Business, WUYI University, Nanping, China

Abstract

This paper presents an in-depth study and evaluation analysis of the effects of the computer-assisted language teaching method on foreign language learning through its application. Using an empirical research approach, a practical study of computer-assisted English language teaching was conducted to verify the effects of CALL on oral language learning. In exploring the effects of CALL on students’ oral learning, including the effects on fluency, accuracy, and complexity of oral expressions, as well as the effects on learning attitudes, CALL is conducive to improving the fluency of oral expressions, reducing the number of pauses and repetitions in oral expressions, and enabling students to consciously use articulation words to facilitate smooth expressions. CALL is good for improving the accuracy of students’ speech, but it does not play a significant role in grammatical accuracy, and the grammatical errors are mainly in the third person singular of verbs, singular and plural of nouns, and passive voice. The use of CALL in teaching oral expressions does not improve the variety of sentences. However, the application of CALL in oral teaching stimulates students’ enthusiasm for learning, improves their interest in learning spoken English, and increases their confidence in oral expression.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design and Practice of Japanese Interactive Teaching Systems in Colleges and Universities Under the Background of Big Data;International Journal of Web-Based Learning and Teaching Technologies;2024-02-20

2. Exploring the Teaching of In-Class Practice Sessions in the Context of Big Data--Taking Chinese Language and Literature Major as an Example;Applied Mathematics and Nonlinear Sciences;2024-01-01

3. A Constructive and Empirical Study of Individualized Teaching Quality Evaluation for College English Teachers;Applied Mathematics and Nonlinear Sciences;2024-01-01

4. The Evaluation of English Teaching Mode in the Context of Big Data;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

5. The Application of Big Data Technology in University English Teaching Mode Innovation and Effect Analysis;Applied Mathematics and Nonlinear Sciences;2023-12-11

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