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p-Index From 2021 - 2026
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All Journal Journal of English Development International Journal of Post-Axial: Futuristic Teaching and Learning
Ibrahim, DafaAllah
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Religion Education Languange, Linguistic, Communication & Media Social Sciences Other

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EFL University Lecturers’ Perceptions of AI and Critical Thinking: Opportunities, Boundaries, and Assessment Dilemmas Alouzi, Khuloud; Ibrahim, DafaAllah; Omran, Sara; Aladi, Salem; Ahmed, Ahmed Hamid
Journal of English Development Vol. 6 No. 1 (2026): Journal of English Development
Publisher : Prodi Tadris Bahasa Inggris

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/jed.v6i1.7376

Abstract

This study explored EFL university lecturers’ perceptions of generative AI in relation to critical thinking, focusing on perceived opportunities, acceptable-use boundaries, and assessment dilemmas at the University of Zawia, Libya. A mixed-methods descriptive design was used, combining a questionnaire (N = 70) and semi-structured interviews (n = 10). Survey results showed moderate endorsement of AI opportunities for supporting critical thinking (M = 3.93, SD = 1.08), especially for language and comprehension support (M = 4.23, SD = 0.97) and higher-order question generation (M = 4.03, SD = 1.05). However, lecturers strongly emphasized boundaries for acceptable AI use (M = 4.42, SD = 0.89), particularly the need for an institutional policy (M = 4.60, SD = 0.73) and disclosure of AI use (M = 4.49, SD = 0.86). Assessment dilemmas were high (M = 4.17, SD = 0.98), with strongest concern about plagiarism/patchwriting risks (M = 4.40, SD = 0.84) and difficulty judging students’ own critical thinking (M = 4.24, SD = 0.97). Interview findings reinforced a “benefit–boundary tension,” highlighting preference for assessment redesign (in-class writing, oral defense, and process portfolios) over detection-based policing. The study recommends regulated-use guidance, staff training, and student integrity support.
Exploring Students’ Perceptions of Literary Translation through ChatGPT: A Case Study at the Faculty of Languages and Translation, University of Zawia, Libya Abdullah, Mahmoud; Alouzi, Khuloud; Ibrahim, DafaAllah; Masuwd, Mowafg; Albshkar, Hajer
International Journal of Post Axial: Futuristic Teaching and Learning Vol. 4 No. 1 March 2026: International Journal of Post Axial
Publisher : Yayasan Azhar Amanaa Yogyakarta

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Abstract

This study investigates students’ experiences and attitudes towards the use of artificial intelligence (AI) tools in literary translation at the Faculty of Languages and Translation, University of Zawia, Libya. Sixty undergraduate students from English departments participated in a classroom-based experiment in which they translated literary texts using ChatGPT. Following the translation tasks, students completed a structured questionnaire designed to assess the usability, accuracy, and pedagogical value of AI-assisted translation. Descriptive analysis of the data revealed that while students found AI-tools effective for increasing translation speed and acquiring new vocabulary, they also expressed reservations about the tools’ limitations in handling literary devices such as tone, metaphor, and cultural context. A majority of students are in favor of continued use of AI-tools under instructor guidance, recognizing their value as supplementary learning aids rather than replacements for human translators. The study highlights the need for critical integration of AI into translation pedagogy and encourages further research on balancing automation with interpretive and creative human input.
Co-Authors Abdullah, Mahmoud Ahmed, Ahmed Hamid Aladi, Salem Albshkar, Hajer Alouzi, Khuloud Masuwd, Mowafg Omran, Sara