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Three-dimensional Japanese text translation teaching on college students’ foreign language learning anxiety

Published online by Cambridge University Press:  27 October 2023

Liwen Zhang*
Affiliation:
Yancheng Institute of Technology, Yancheng 224000, China
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Abstract

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Background

The anxiety of college students in learning a foreign language may affect their learning results, so it is very important to find effective teaching methods to alleviate the anxiety. This study explores the effects of Japanese text translation teaching based on three-dimensional transformation on college students’ foreign language learning anxiety.

Subjects and Methods

100 undergraduate students majoring in Japanese in a university were randomly divided into test group and control group, with 50 students in each group. The test group received Japanese text translation teaching based on 3D conversion, and the control group received traditional text translation teaching. Anxiety questionnaire was used to assess the anxiety level of students, and the data were statistically analyzed by SPSS23.0.

Results

The statistical analysis showed that the level of foreign language learning anxiety of the test group was significantly lower than that of the control group (t=3.42, P< 0.05). Specific data showed that the average anxiety score of the test group was 3.55, and the average score of the control group was 4.27. In addition, students in the test group performed better in translation accuracy (test group: 83%; Control group: 76%).

Conclusions

Japanese text translation teaching based on 3D transformation can effectively alleviate the anxiety of college students in foreign language learning. Through interactive and immersive learning experiences, students can better understand and apply language knowledge, thereby reducing anxiety levels. Adopting this teaching method can improve foreign language teaching and enhance students’ learning effect and experience.

Acknowledgement

2022 Yancheng College of Technology Teaching Reform Research Projects (No.JYKT2022B060).

Type
Abstracts
Copyright
© The Author(s), 2023. Published by Cambridge University Press