University English Translation Teaching in the Context of Artificial Intelligence: Problems and Countermeasures
With the rapid development of artificial intelligence, university English translation teaching faces many challenges and opportunities. This article studies the problems in teaching in this context and proposes effective countermeasures. Diagnostic analysis and factor analysis are used in the articl...
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Published in | Applied mathematics and nonlinear sciences Vol. 9; no. 1 |
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Format | Journal Article |
Language | English |
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01.01.2024
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Abstract | With the rapid development of artificial intelligence, university English translation teaching faces many challenges and opportunities. This article studies the problems in teaching in this context and proposes effective countermeasures. Diagnostic analysis and factor analysis are used in the article to conduct an in-depth study of the three levels of the teaching process: knowledge skills, autonomy, and emotional development. The students achieved a 70% mastery rate in knowledge and skills, while their independence and emotional development performance was 60% and 50%, respectively. This paper proposes an English speech translation system based on artificial intelligence to enhance teaching effectiveness. After a 14-week teaching experiment, the average grade of the students in the experimental class improved by about 6.82 points compared to the traditional teaching class, proving the system’s effectiveness. The study diagnosed the current problems in university English translation teaching, verified the potential of AI technology in improving teaching quality through empirical research, and combined with AI technology can effectively improve the quality and efficiency of university English translation teaching. |
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AbstractList | With the rapid development of artificial intelligence, university English translation teaching faces many challenges and opportunities. This article studies the problems in teaching in this context and proposes effective countermeasures. Diagnostic analysis and factor analysis are used in the article to conduct an in-depth study of the three levels of the teaching process: knowledge skills, autonomy, and emotional development. The students achieved a 70% mastery rate in knowledge and skills, while their independence and emotional development performance was 60% and 50%, respectively. This paper proposes an English speech translation system based on artificial intelligence to enhance teaching effectiveness. After a 14-week teaching experiment, the average grade of the students in the experimental class improved by about 6.82 points compared to the traditional teaching class, proving the system’s effectiveness. The study diagnosed the current problems in university English translation teaching, verified the potential of AI technology in improving teaching quality through empirical research, and combined with AI technology can effectively improve the quality and efficiency of university English translation teaching. Abstract With the rapid development of artificial intelligence, university English translation teaching faces many challenges and opportunities. This article studies the problems in teaching in this context and proposes effective countermeasures. Diagnostic analysis and factor analysis are used in the article to conduct an in-depth study of the three levels of the teaching process: knowledge skills, autonomy, and emotional development. The students achieved a 70% mastery rate in knowledge and skills, while their independence and emotional development performance was 60% and 50%, respectively. This paper proposes an English speech translation system based on artificial intelligence to enhance teaching effectiveness. After a 14-week teaching experiment, the average grade of the students in the experimental class improved by about 6.82 points compared to the traditional teaching class, proving the system’s effectiveness. The study diagnosed the current problems in university English translation teaching, verified the potential of AI technology in improving teaching quality through empirical research, and combined with AI technology can effectively improve the quality and efficiency of university English translation teaching. |
Author | Sun, Yanan |
Author_xml | – sequence: 1 givenname: Yanan surname: Sun fullname: Sun, Yanan email: clover890601@163.com organization: School of Foreign Languages, Zhengzhou University of Science and Technology, Zhengzhou, Henan, 450064, China |
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Cites_doi | 10.1504/IJCEELL.2020.10030602 10.1142/S0219843622500062 10.1002/per.2101 10.1016/j.specom.2019.01.006 10.3991/ijet.v16i05.20305 10.1108/JKM-12-2018-0738 10.3991/ijet.v12i12.7963 10.1080/14708477.2018.1456546 10.1177/0020720920984316 10.3233/JIFS-189407 10.1155/2021/5578476 10.3233/JIFS-189316 10.3233/JIFS-189796 10.3233/JIFS-189208 10.3389/fpsyg.2022.627818 10.1364/BOE.8.005399 10.31449/inf.v43i2.2783 |
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