Article Per Year (5 Year)
p-Index From 2021 - 2026
1.723
P-Index
This Author published in this journals
All Journal IJEE (Indonesian Journal of English Education) Vision: Journal for Language and Foreign Language Learning Language Literacy: Journal of Linguistics, Literature, and Language Teaching SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL Ethical Lingua: Journal of Language Teaching and Literature Borneo Educational Journal (Borju) Southeast Asian Journal of Islamic Education Frasa: English Education and Literature Journal Journal of English as a Foreign Language Teaching and Research (JEFLTR) Lire Journal (Journal of Linguistics and Literature)
Aridah, Aridah
Unknown Affiliation
Arts Humanities Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
EFL STUDENTS’ ACCEPTANCE OF DEEPL TRANSLATION: A TECHNOLOGY ACCEPTANCE MODEL STUDY Cahyani, Reihayyu Dwi; Syamdianita, Syamdianita; Aridah, Aridah; Iswari, Weningtyas Parama; Ahada, Ichi
Lire Journal (Journal of Linguistics and Literature) Vol. 9 No. 3 (2025): Lire Journal (Journal of Linguistics and Literature)
Publisher : Elite Laboratory Jurusan Sastra Inggris Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/ire.v9i3.535

Abstract

This study applied the Technology Acceptance Modes (TAM)framework to investigates university EFL students' acceptance of DeepL machine translation tool, focusing on how frequency of use influences their perceptions. A descriptive qualitative approach was used involving purposive sampling of four students in semi-structured interviews. A short questionnaire was administered beforehand to classify participants into two categories, two frequent and two infrequent DeepL users. of the machine translation tool DeepL in the context of learning English as Foreign Language (EFL), involving four participants (two frequent users and two infrequent users). The results showed that frequent users found DeepL valuable for vocabulary acquisition, translation accuracy, and academic writing support, whereas infrequent users highlighted limitations such as the lack of a paraphrasing feature and issues with formality. These differences suggest that usage frequency significantly impacts perceived usefulness and ease of use of the tool. This study is among the first to extend the TAM framework to a machine translation tool like DeepL, addressing a gap in MT research by examining the role of usage frequency. The findings offer both theoretical and practical significance, providing insights into how MT tools can be more effectively integrated into EFL learning.
Co-Authors Abdul Muid Ahada, Ichi Amarullah, A.K. Bibit Suhatmady Cahyani, Reihayyu Dwi Dayu Kalpiko Retno, Rafifa Hambali, Muhamad Hermagustiana, Istanti Iwan Setiawan Kalukar, Ventje Jany Limbong , Effendi Limbong, Effendi Maesaroh, Dwi Titi Maria Teodora Ping, Maria Teodora Nadia, Fazah Nur Azizah Puji Astuti Amalia Putra, Setoaji Rusmawaty, Desy Salsabila, Rohiidah Sidik Prabowo Susilo Susilo Syamdianita Syamdianita Syamdianita, Syamdianita Weningtyas Parama Iswari, Weningtyas Parama Yuni Utami Asih, Yuni Utami