Insights on AI-Driven Anxiety and Career Awareness in Translator Education: A Case Study

In recent years, advances in artificial intelligence technologies have intensified discussions about the future of the translation profession. The present study aims to evaluate the occupational career awareness of translation students and their anxiety about artificial intelligence in the context of the translation profession and the relationships between these two variables by using multiple data collection methods. In this framework, Kırklareli University's Department of English Translation and Interpreting was selected as the research sample. The study used multiple data collection techniques and utilized quantitative and qualitative methodological approaches simultaneously. In this regard, demographic and occupational questions, an Artificial Intelligence Anxiety Scale, and an Occupational Career Awareness Scale were administered to the students, and 166 valid questionnaires were collected. In addition, a focus group interview was conducted with the participation of 10 students from different years of study. As a result, translation students' AI anxiety was not at a high level. At the same time, their career awareness was high, and there was no statistical relationship between the two. It was observed that the uncertainty experienced while entering the sector and job search were the main factors that increased AI anxiety. Finally, the majority of the students emphasized that to decrease their anxiety levels, AI-related courses should be included in the curriculum from the first year onwards.

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Publication Details

Journal
Dünya Dilleri Edebiyatları ve Çeviri Çalışmaları Dergisi
Published
2025-06-30
DOI
https://doi.org/10.58306/wollt.1632174
Citations
1
Primary Topic
Interpreting and Communication in Healthcare
Type
article
Field-Weighted Citation Impact
2.82
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article

Insights on AI-Driven Anxiety and Career Awareness in Translator Education: A Case Study

Mehmet Fatih Çömlekçi, Burcu Taşkın, A. P. Sen
1 citations
Dünya Dilleri Edebiyatları ve Çeviri Çalışmaları Dergisi
Interpreting and Communication in Healthcare
2.82
article

Insights on AI-Driven Anxiety and Career Awareness in Translator Education: A Case Study

Mehmet Fatih Çömlekçi, Burcu Taşkın, A. P. Sen
article en
1 citations

Abstract

In recent years, advances in artificial intelligence technologies have intensified discussions about the future of the translation profession. The present study aims to evaluate the occupational career awareness of translation students and their anxiety about artificial intelligence in the context of the translation profession and the relationships between these two variables by using multiple data collection methods. In this framework, Kırklareli University's Department of English Translation and Interpreting was selected as the research sample. The study used multiple data collection techniques and utilized quantitative and qualitative methodological approaches simultaneously. In this regard, demographic and occupational questions, an Artificial Intelligence Anxiety Scale, and an Occupational Career Awareness Scale were administered to the students, and 166 valid questionnaires were collected. In addition, a focus group interview was conducted with the participation of 10 students from different years of study. As a result, translation students' AI anxiety was not at a high level. At the same time, their career awareness was high, and there was no statistical relationship between the two. It was observed that the uncertainty experienced while entering the sector and job search were the main factors that increased AI anxiety. Finally, the majority of the students emphasized that to decrease their anxiety levels, AI-related courses should be included in the curriculum from the first year onwards.

Dünya Dilleri Edebiyatları ve Çeviri Çalışmaları DergisiVol. 6(1)
Kırklareli University (TR)
Openalex Percentile: Top 10%
Interpreting and Communication in Healthcare
2.82
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