Exploring the Use of Machine Translation in English-Medium Higher Education Contexts: Perspectives from Omani EFL Students

There has been a significant increase in the use of machine translation by university students as part of their coping strategies for their English-medium study. This practice has been a subject of debate among educators. Some argue that advancements in technology have made machine translation a valuable learning tool, while others remain skeptical, questioning its pedagogical benefits. This study is an attempt to explore Omani EFL students’ perceptions and attitudes regarding the use of machine translation as a coping strategy in their English-medium content learning activities. A qualitative research design, employing an open-ended survey and semi-structured interviews, was used in the study. Thirty-five students enrolled on different English-medium majors at a public Omani university voluntarily participated in the investigation. The data was analysed thematically and inductively. Results showed that all participants reported using machine translation for various learning activities, including looking up the meanings of discipline-specific terminology and translating individual sentences and longer texts from English to Arabic and vice versa. Some participants noted that machine translation tools tend to perform better when translating from Arabic to English compared to translating from English to Arabic. However, participants also highlighted several challenges related to the use of machine translation as a coping learning strategy. The implications for translation pedagogy and research are discussed.

Authors

Publication Details

Journal
International Journal of English Language Education
Published
2024-10-07
DOI
https://doi.org/10.5296/ijele.v12i2.22299
Primary Topic
Translation Studies and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Use of Machine Translation in English-Medium Higher Education Contexts: Perspectives from Omani EFL Students

Awad Alhassan, Hatem Essa
International Journal of English Language Education
Translation Studies and Practices
article

Exploring the Use of Machine Translation in English-Medium Higher Education Contexts: Perspectives from Omani EFL Students

Awad Alhassan, Hatem Essa
article en

Abstract

There has been a significant increase in the use of machine translation by university students as part of their coping strategies for their English-medium study. This practice has been a subject of debate among educators. Some argue that advancements in technology have made machine translation a valuable learning tool, while others remain skeptical, questioning its pedagogical benefits. This study is an attempt to explore Omani EFL students’ perceptions and attitudes regarding the use of machine translation as a coping strategy in their English-medium content learning activities. A qualitative research design, employing an open-ended survey and semi-structured interviews, was used in the study. Thirty-five students enrolled on different English-medium majors at a public Omani university voluntarily participated in the investigation. The data was analysed thematically and inductively. Results showed that all participants reported using machine translation for various learning activities, including looking up the meanings of discipline-specific terminology and translating individual sentences and longer texts from English to Arabic and vice versa. Some participants noted that machine translation tools tend to perform better when translating from Arabic to English compared to translating from English to Arabic. However, participants also highlighted several challenges related to the use of machine translation as a coping learning strategy. The implications for translation pedagogy and research are discussed.

International Journal of English Language EducationVol. 12(2)
Quality Education
Openalex Percentile: Top 71%
Translation Studies and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.