Evaluating the Impact of Integrating Artificial Intelligence in Translation Studies: The Case of Translation Postgraduate Programs in Morocco

Résumé

Over the past decade, artificial intelligence (AI) has revotionalized educa tion through major breakthroughs in deep learning and big data. Within translation studies (TS), AI offers new instructional opportunities to establish solid pedagogi cal implications for teaching and learning. Driven by the significance of AI tools, educators are advised to develop new digitalized teaching methods to enhance translation teaching practice. Therefore, TS curricula need to be remodeled and teaching methods re-contextualized to align with the needs of 21st century transla tion industry. This paper investigates the current application of AI in translation teaching in higher education, with a focus on its integration into postgraduate pro grams’curricula. The study involved 254 participants, including 70 professors and 184 postgraduate students from Moroccan universities. Findings show that over 72% of respondents support AI integration, 63% confirm its positive impact on ac ademic performance and translation competence, and 67% express readiness to em brace AI in teaching and learning practices.