Attitudes of Translation Students at Palestinian Universities Toward the Use of Artificial Intelligence Tools in Learning Translation

مؤسسة الشرق الأوسط للنشر العلمي

عادةً ما يتم الرد في غضون خمس دقائق

الإصدار التالي: 15 أكتوبر 2026
من مجلة العلوم الإنسانية العربية

Attitudes of Translation Students at Palestinian Universities Toward the Use of Artificial Intelligence Tools in Learning Translation

Abeer Rasmi Sa'ed
Abstract

This study aimed to identify the attitudes of translation students at Palestinian universities toward the use of artificial intelligence (AI) tools in learning translation, determine the level of these attitudes and the most frequently used tools, and examine differences in students’ attitudes according to gender, university, and year of study. The study adopted a quantitative approach using a descriptive survey design. The study sample consisted of 100 male and female translation students from three Palestinian universities: An-Najah National University, Birzeit University, and Al-Quds University. A questionnaire was used as the data collection instrument. The attitudes scale consisted of 20 items distributed across three dimensions: perceived usefulness, ease of use and learning, and trust and responsible use. The overall reliability coefficient of the instrument, measured using Cronbach’s alpha, was 0.91.

The results showed that translation students had a high level of positive attitudes toward the use of AI tools in learning translation, with an overall mean score of 4.02. Perceived usefulness ranked first with a mean of 4.18, followed by ease of use and learning with a mean of 4.05, and trust and responsible use with a mean of 3.82. The findings also revealed that ChatGPT was the most frequently used tool (88.0%), followed by Google Translate (81.0%) and DeepL (57.0%). No statistically significant differences were found in students’ attitudes attributable to gender, university, or year of study. Based on these findings, the study recommended enhancing the integration of AI tools into translation programs and courses, providing training programs to promote their informed and responsible use, training students to critically evaluate the linguistic, semantic, and cultural accuracy of AI-generated outputs, and establishing a clear academic framework to regulate their use while maintaining academic integrity and preserving the student’s role in the translation process.

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