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

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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.

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Wang, H., Du, Y., & Tsai, S. B. (2021). Evaluation of the Effectiveness Computer-Assisted Language Teaching by Big Data Analysis. Mathematical Problems in Engineering, 2021. https://doi.org/10.1155/2021/7143815

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