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All Journal Khalifa: Journal of Islamic Education International Journal of Post-Axial: Futuristic Teaching and Learning Muaddib: Journal of Islamic Teaching and Learning Journal of Arabic Literature, Teaching and Learning
Hajer Albshkar
University of Zawia, Libya
Religion Education Languange, Linguistic, Communication & Media Social Sciences Other

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AI and Cultural Sensitivity: Student Perceptions of How AI Handles Religion, Identity, and Tradition in Texts Khuloud Alouzi; Abdulrauf Atia; Sara Omran; Safa Alrumayh; Hajer Albshkar; Entisar Alatrish; Mowafg Masuwd; Bushra Alfallah
Muaddib: Journal of Islamic Teaching and Learning Vol. 2 No. 1 (2026): March
Publisher : International Islamic Studies Development and Research Center (IISDRC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67055/gsn92q32

Abstract

AI tools are increasingly used by university students to comprehend literary and cultural texts, but in Libya this use becomes sensitive when texts include religion, identity, and tradition, where misrepresentation may affect respect and classroom trust. This study aims to examine students’ perceptions of AI cultural sensitivity and the risks of bias in literature and culture learning at the University of Zawia. The study used a mixed-methods design, combining a questionnaire survey of 500 undergraduate students from the Faculties of Arts, Education, and Languages and Translation (124 males, 376 females) with semi-structured interviews with 10 lecturers. Survey findings show that AI use is common, with most students using AI at least weekly for text comprehension, cultural/historical context, writing support, and translation. Students reported moderate perceptions of AI cultural sensitivity, but high concern about misrepresentation, especially oversimplification of religious meanings, misunderstanding culture-specific terms, and biased framing. Students also showed a very strong preference for responsible-use governance, including verification practices, lecturer guidance, and AI literacy training. Faculty comparisons indicated higher perceived learning value among Languages and Translation students, while gender differences were minimal except for slightly stronger governance expectations among females. The study implies that AI can be integrated as a contextual support tool, but universities should provide clear guidelines and training to protect cultural respect and critical evaluation in sensitive topics.
The Use of Artificial Intelligence-Based Translation Tools for Language Department Students Dafallah Ibrahim; Yousuf Aboujanah; Khuloud Alouzi; Hajer Albshkar; Mohieddin Masoud; Sumaia Almajri
Journal of Arabic Literature, Teaching and Learning Vol. 1 No. 3 (2025): November
Publisher : Journal of Arabic Literature, Teaching and Learning

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Abstract

This study explores the integration and use of Artificial Intelligence translation tools among university level language students engaged in Arabic-English and English-Arabic translation tasks. With the increasing availability and sophistication of AI-based translation tools such as Google Translate, DeepSeek, and ChatGPT, translation tasks are experiencing a revolutionary paradigm shift. Drawing on qualitative and quantitative data collected from undergraduate students at a Libyan university, this research investigates students' attitudes toward AI-based translation tools, their frequency and purpose of use, perceived benefits and limitations, and the implications for translation teaching and practices. The findings reveal a strong engagement with AI-based translation tools, primarily for vocabulary learning, initial text drafts, and understanding complex sentence structures. However, challenges such as overreliance, inaccurate cultural, literal, scientific or idiomatic rendering, and limited post-editing skills are also evident. The study highlights the urgent need for pedagogical strategies that integrate AI-based translation tools within a framework of critical literacy and human supervision and intervention.  
Integrating Turath and Modern Knowledge in Islamic Higher Education Sami Barkah; Mohieddin Masoud; Salem Aladi; Nahid Ayad; Safa Alrumayh; Hajer Albshkar; Mowafg Masuwd
Khalifa Journal of Islamic Education Vol 10 No 1 (2026): March
Publisher : Islamic Studies and Development Center (ISDC) Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/kjie.v10i1.448

Abstract

Islamic higher education encounters a continuous challenge in integrating classical Islamic heritage (Turath) with modern knowledge in a consistent and meaningful way. This study examines to which extent Islamic education programs balance Turath (classical Islamic heritage) and modern knowledge in the Faculties of Sharia and Islamic Studies at the University of Zawia, Libya. Using a mixed-methods explanatory sequential design, quantitative data were collected from 350 students through a structured questionnaire, followed by qualitative interviews with 20 lecturers to provide deep insights. The findings indicate that students demonstrate a high appreciation for both Turath (M = 4.34, SD = 0.79) and modern knowledge (M = 4.08, SD = 0.96), reflecting strong support for an integrative model of Islamic education. However, curriculum balance was rated at a moderate level (M = 3.35, SD = 1.07), suggesting that integration between the two domains remains insufficient. Teaching practices were also perceived as moderately effective (M = 3.73, SD = 0.96), with limitations in fostering critical engagement and application. Furthermore, students identified significant challenges (M = 4.09, SD = 0.90), particularly the overreliance on memorization, weak linkage between theory and practice, and limited institutional coordination. Qualitative findings confirm that these challenges rooted in structural fragmentation, lack of a unified curriculum framework, and insufficient pedagogical training. The study concludes that while the conceptual foundation for integration exists, effective implementation requires systematic curriculum reform, pedagogical innovation, and institutional integration.
Exploring Students’ Perceptions of Literary Translation through ChatGPT: A Case Study at the Faculty of Languages and Translation, University of Zawia, Libya Mahmoud Abdullah; Khuloud Alouzi; DafaAllah Ibrahim; Mowafg Masuwd; Hajer Albshkar
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 Abdulrauf Atia Bushra Alfallah DafaAllah Ibrahim Dafallah Ibrahim Entisar Alatrish Khuloud Alouzi Mahmoud Abdullah Mohieddin Masoud Mowafg Abrahem Masuwd Nahid Ayad Safa Alrumayh Salem Aladi Sami Barkah Sara Omran Sumaia Almajri Yousuf Aboujanah