University students' perceptions of using generative AI in translation practices.
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| Title: | University students' perceptions of using generative AI in translation practices. |
|---|---|
| Authors: | Zhang, Wenkang1 (AUTHOR) wenkangzhang@link.cuhk.edu.cn, Li, Albert W.2 (AUTHOR) albert.li@uci.edu, Wu, Chenze3 (AUTHOR) chenze_wu@life.hkbu.edu.hk |
| Source: | Instructional Science. Aug2025, Vol. 53 Issue 4, p633-655. 23p. |
| Subject Terms: | *Generative artificial intelligence, *College students, *Foreign language education, *Teaching methods, *Qualitative research, Sociology, Perceived benefit |
| Geographic Terms: | China |
| Abstract: | The rising application of Generative Artificial Intelligence (GenAI) tools like ChatGPT, Bing Chat, and Bard in language teaching and learning heralds a transformative era. Yet, the experiences and perspectives of university students on integrating these tools into their translation studies remain underexplored. This qualitative study, conducted in a research-intensive, Sino-foreign cooperative university in southern China, explored university students' perceived benefits and challenges of utilizing GenAI in translation practices, as well as their preferred support mechanisms for addressing encountered issues. Data was collected through open-ended questionnaires and semi-structured interviews and analyzed by using reflexive thematic analysis. Results underscored the advantages of GenAI in enhancing translation efficiency, quality, learning, and practice, fostering a positive outlook and social benefits. Nevertheless, issues such as adequacy, prompt engineering efficacy, practical application, technical limitations, accountability, transparency, and potential AI dependency were noted. Beyond existing self-help strategies, there was an expressed need for additional guidance from educators and institutions. This study enriches our comprehension of how university students perceive and engage with GenAI tools in translation, offering insights for educators and academic institutions to optimize future teaching strategies. It also outlines the study's limitations and proposes directions for subsequent research. [ABSTRACT FROM AUTHOR] |
| Copyright of Instructional Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 186780118 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: University students' perceptions of using generative AI in translation practices. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Wenkang%22">Zhang, Wenkang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wenkangzhang@link.cuhk.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Albert+W%2E%22">Li, Albert W.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> albert.li@uci.edu</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+Chenze%22">Wu, Chenze</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> chenze_wu@life.hkbu.edu.hk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Instructional+Science%22">Instructional Science</searchLink>. Aug2025, Vol. 53 Issue 4, p633-655. 23p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22College+students%22">College students</searchLink><br />*<searchLink fieldCode="DE" term="%22Foreign+language+education%22">Foreign language education</searchLink><br />*<searchLink fieldCode="DE" term="%22Teaching+methods%22">Teaching methods</searchLink><br />*<searchLink fieldCode="DE" term="%22Qualitative+research%22">Qualitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Sociology%22">Sociology</searchLink><br /><searchLink fieldCode="DE" term="%22Perceived+benefit%22">Perceived benefit</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The rising application of Generative Artificial Intelligence (GenAI) tools like ChatGPT, Bing Chat, and Bard in language teaching and learning heralds a transformative era. Yet, the experiences and perspectives of university students on integrating these tools into their translation studies remain underexplored. This qualitative study, conducted in a research-intensive, Sino-foreign cooperative university in southern China, explored university students' perceived benefits and challenges of utilizing GenAI in translation practices, as well as their preferred support mechanisms for addressing encountered issues. Data was collected through open-ended questionnaires and semi-structured interviews and analyzed by using reflexive thematic analysis. Results underscored the advantages of GenAI in enhancing translation efficiency, quality, learning, and practice, fostering a positive outlook and social benefits. Nevertheless, issues such as adequacy, prompt engineering efficacy, practical application, technical limitations, accountability, transparency, and potential AI dependency were noted. Beyond existing self-help strategies, there was an expressed need for additional guidance from educators and institutions. This study enriches our comprehension of how university students perceive and engage with GenAI tools in translation, offering insights for educators and academic institutions to optimize future teaching strategies. It also outlines the study's limitations and proposes directions for subsequent research. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Instructional Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11251-025-09705-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 633 Subjects: – SubjectFull: Generative artificial intelligence Type: general – SubjectFull: College students Type: general – SubjectFull: Foreign language education Type: general – SubjectFull: Teaching methods Type: general – SubjectFull: Qualitative research Type: general – SubjectFull: Sociology Type: general – SubjectFull: Perceived benefit Type: general – SubjectFull: China Type: general Titles: – TitleFull: University students' perceptions of using generative AI in translation practices. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Wenkang – PersonEntity: Name: NameFull: Li, Albert W. – PersonEntity: Name: NameFull: Wu, Chenze IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00204277 Numbering: – Type: volume Value: 53 – Type: issue Value: 4 Titles: – TitleFull: Instructional Science Type: main |
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