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Arab World English Journal (AWEJ) Special Issue on CALL Number 11. July 2025 Pp. 160-176
Faculty of Education, Universiti Kebangsaan Malaysia
Bangi, Selangor, Malaysia
School of Foreign Languages, Aba Teachers College
Aba Tibetan and Qiang Autonomous Prefecture, Sichuan, China
Institute of Ethnic Studies, Universiti Kebangsaan Malaysia
Bangi, Selangor, Malaysia
Faculty of Education, Universiti Kebangsaan Malaysia
Bangi, Selangor, Malaysia
Tertiary translation education is essential for cultivating talents in cross-cultural communications in the age of language automation. However, the mismatch between current translation pedagogy and the language industry is palpable. While artificial intelligence has emerged as a key impetus of language automation, learners’ perceptions of utilizing educational technologies in their translation learning remain underexplored. Particularly, the underlying factors of learner perceptions that significantly affect learners’ technology acceptance have yet to be thoroughly examined. This study aims to preliminarily identify the key factors influencing learner perceptions and acceptance of AI-assisted blended teaching in translation classrooms. It addresses two major issues: first, students’ perceptions of harnessing AI-assisted blended teaching in their translation learning; second, students’ current learning experiences in their compulsory translation courses. Focus group interviews were conducted with English majors enrolled in a compulsory translation course at a Chinese university. The findings provide an in-depth thematic analysis of students’ perceptions of AI-assisted blended teaching, offering insights for a customized translation pedagogy aligned with Industrial Revolution 4.0. By elucidating the learners’ perceptions of the emergence of translation competence and learner autonomy through the translation learning process, this study proffers preliminary insights on reshaping the translation pedagogy toward an AI-assisted blended teaching integration.
Yan, Q., Hussin,S., & Jamaludin, K.A. (2025). Students’ Perceptions of AI-Assisted Blended Teaching in A Chinese Translation Class: A Preliminary Study. Arab World English Journal (AWEJ) Special Issue on CALL (11): 160-176
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Qiao Yan is currently a PhD candidate in TESL at the Faculty of Education, Universiti Kebangsaan Malaysia. She works as a lecturer at Aba Teachers College, China. Her research interests include teaching English as a second language and Chinese-English translation studies. https://orcid.org/0009-0004-5790-7081.
Prof. Dr. Supyan Hussin is a principal research fellow at the Institute of Ethnic Studies, Universiti Kebangsaan Malaysia. His main research areas include language education and technology, e-learning, mobile learning, Malay civilization, and the development of big data. https://orcid.org/0000-0003-0544-0649.
Dr. Khairul Azhar Jamaludin is a senior lecturer at the Faculty of Education, Universiti Kebangsaan Malaysia. He specializes in designing and implementing educational frameworks that bridge academic learning with industry needs. His expertise spans the development of industry-based curricula and technical communication pedagogy. https://orcid.org/0000-0001-9709-6261