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Research Article Open access CC BY 4.0

The Need to Use Translation Software in the Classroom: Perception of Chinese International Engineering College Students in Language Learning

Yichen Yang, Hao Sun, Yuncheng Wan, Mingyang Ma, Taiji Cao, Yizhe Huang, Edison Estigoy

Journal of Engineering Research and Reports · pp. 149–157 · Published 2 Dec 2023

10.9734/jerr/2023/v25i111030

Abstract

This study aims to analyze students' perception and usage of translation software for language learning. A survey questionnaire was administered to International Engineering College students to gather data on their attitudes, reasons, and experiences related to using translation software. The findings reveal that a significant number of students agree to strongly agree with the use of translation software in various language learning contexts, such as translating simple sentences, long paragraphs, unfamiliar words, and during English classes. The majority of students perceive translation software as a valuable tool for improving language skills and facilitating communication with foreign teachers. However, some students also express dissenting opinions, suggesting that translation software may not be the optimal method for learning and improving English proficiency. The discussion highlights the benefits and limitations of translation software, as well as the need for a balanced approach to its usage. While translation software can be a helpful resource in specific language learning tasks, it should not replace authentic language input and independent learning. The findings emphasize the importance of integrating translation software into language learning curricula and providing guidance to students on effective and critical use. This study contributes to the understanding of students' perceptions of translation software and provides insights for educators and learners on maximizing its potential for language learning.

Engineering students international language learning perception translation software

Cited by 9

Usefulness, Ease-of-use, and Acceptance towards Generative AI in Language Learning of Non-Language Majors: A TAM-based Study

Yichen Yang, Hao Sun, Zihan Chai · International Journal of Advanced Engineering Research and Science · 2024

Students’ Viewpoint of Automatic Translation Tools in EFL Classroom

Heri Yudianto, Monika Surtikanti, Antonius Agung · Pedagogy : Journal of English Language Teaching · 2025

Self-Determination, Learning, and Language Technology Engagement of Chinese International Engineering College Students

Yichen Yang, Ling Qi, Ziyi Wu · International Journal of Computer-Assisted Language Learning and Teaching · 2025

Design and Implementation of China-Russia Neighborly Translation Learning App

Guorui Li, Ao Chen, Yifeng Yan · Proceedings of the 2024 International Conference on Computer and Multimedia Technology · 2024

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