The Role of Artificial Intelligence in Enhancing Translation Skills: EFL Instructors’ Perspectives at King Khalid University
DOI:
https://doi.org/10.17507/tpls.1605.16Keywords:
King Khalid University, role of artificial intelligence, EFL students, perspectives of instructors, translation skillsAbstract
This study explores the integration of artificial intelligence (AI) tools in the teaching of translation within the English as a foreign language (EFL) program at King Khalid University. The aim was to assess the perceptions and attitudes of faculty regarding the effectiveness, challenges, and cultural adaptability of AI-driven learning systems in translation education. Descriptive statistical analysis of survey data reveals overwhelmingly positive attitudes toward AI integration, with high levels of agreement on its benefits for enhancing translation accuracy, pedagogical efficiency, student engagement, and confidence. However, the participants identified several challenges, including insufficient institutional support, a lack of training, ethical concerns, and difficulties in selecting appropriate tools. Although AI tools were perceived as valuable in improving linguistic skills and providing immediate feedback, their limitations in addressing cultural nuances and fostering learner autonomy were noted. The findings underscore the need for comprehensive institutional strategies, including targeted professional development, infrastructure enhancement, and culturally responsive AI design, to ensure effective and responsible implementation. This study contributes to the growing body of research on AI in language education and offers practical insights for educators, policymakers, and technologists who aim to integrate AI in EFL contexts.
References
Albahiri, M. H., Alhaj, A. A., & Al Oteibi, B. M. (2025). Proposed educational program predicated on gamification for teaching mathematics as required by TIMSS and its effect on developing strategic competence among fourth-grade male students. Educational Process: International Journal, 14, e2025042. https://doi.org/10.22521/edupij.2025.14.42
Aljohani, M. (2021). The role of artificial intelligence in English language learning: EFL teachers’ and students’ perspectives in Saudi Arabia. Arab World English Journal (AWEJ), 12(3), 399–417. https://doi.org/10.24093/awej/vol12no3.26
Al-Sayyid, M. (2004). Artificial intelligence: Concepts and applications. Cairo University Press.
Alshahrani, S. (2024). Exploring AI tools in Saudi EFL contexts: Opportunities and challenges. Language Learning & Technology, 28(1), 89–105.
Al-Shahrani, S. A., & Alhaj, A. A. M. (2025). Exploring King Khalid University faculty members’ perspectives on consumer behavior and the evolution of marketing strategies in the age of artificial intelligence. Journal of Lifestyle and SDGs Review, 5(3), e04503.
Al-Surimi, K. (2020). Factors influencing the adoption of artificial intelligence in higher education: A sociocultural perspective. International Journal of Educational Technology in Higher Education, 17(1), 45–58.
Altamimi, D. H. F. (2025). Unlocking potential: Saudi EFL male students’ perspectives on AI tools for enhancing English writing proficiency. Arab World English Journal (AWEJ) Special Issue on Artificial Intelligence, 40–58. https://doi.org/10.24093/awej/AI.3
Arnous, A. (2008). Intelligent computer systems and decision-making technologies. Al-Maktabah Al-Asriyyah.
Bahari, H., & Hashim, H. (2021). Artificial intelligence and language learning: A systematic literature review. Journal of Language and Linguistic Studies, 17(2), 650–667. https://doi.org/10.17263/jlls.904147
Bowker, L. (2020). Machine translation and global research: Towards improved machine translation literacy in the scholarly community. Emerald Publishing Limited.
Chen, Y., Wang, M., & Zhou, H. (2023). Teachers’ concerns and expectations about AI integration in education. Educational Technology & Society, 26(2), 35–48.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Implications for educational practice of the science of learning and development. Applied Developmental Science, 24(2), 97–140.
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results [Doctoral dissertation, Massachusetts Institute of Technology].
Dörnyei, Z., & Taguchi, T. (2010). Questionnaires in second language research: Construction, administration, and processing (2nd ed.). Routledge.
Fan, Y., Chen, J., & Zhou, M. (2023). ChatGPT as a feedback tool: Effects on EFL writing performance. ReCALL, 35(2), 142–160.
Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to design and evaluate research in education (10th ed.). McGraw-Hill Education.
Guo, Y., Zhang, W., & Chen, H. (2022). Adaptive feedback systems in AI-enhanced education. Educational Technology Research and Development, 70(2), 345–367.
Hazaymeh, W. A., Ahmad, I., & Yaseen, B. (2024). Instructor perceptions of AI in language learning: A cross-experience study. International Journal of Educational Technology in Higher Education, 21(1), 73–85.
Hwang, H. B., & Coss, M. (2025). Is technology research ripe for making impacts on L2 pedagogy? Reflections on research and relevance in CALL and instructed SLA. In M. Coss, H.-B. Hwang, S. Loewen, & F. Poole (Eds.), Technology and instructed second language acquisition: Connecting research and pedagogy (pp. 16-44). John Benjamins.
Ismail, M. A., & Ahmad, S. (2023). Saudi EFL learners’ attitudes toward AI-based translation tools. Journal of Language Teaching and Research, 14(3), 315–327.
Johnson, K. E. (2009). Second language teacher education: A sociocultural perspective. Routledge.
Kiraly, D. (2015). Occasional papers on translation pedagogy: Towards a constructivist approach to translator training. Peter Lang.
Koponen, M. (2016). Is machine translation post-editing worth the effort? A survey of research into post-editing and effort. The Journal of Specialized Translation, (25), 131–149.
Kukulska-Hulme, A. (2020). Mobile-assisted language learning and AI. ReCALL, 32(1), 5–14. https://doi.org/10.1017/S0958344019000200
Kumar, V., Sharma, A., & Gupta, R. (2023). Neural machine translation: Advances, challenges, and applications. Journal of Artificial Intelligence Research, 66, 123–145.
Lee, J. (2020a). Enhancing EFL learning with AI-powered translation tools. Language Learning & Technology, 24(2), 56–75.
Lee, J. (2020b). The use of Google Translate for improving writing and reading in EFL learning. Language Learning & Technology, 24(2), 10–23.
Li, X., & Zhao, M. (2022). Personalized learning with artificial intelligence in EFL classrooms. Computer Assisted Language Learning, 35(6), 1153–1170.
Lin, H., & Lee, C. (2022). Institutional support for AI in education: Policies and pedagogical frameworks. Educational Review, 74(3), 367–384.
Lin, J., & Wang, Y. (2020). The ethics of AI-assisted learning: A framework for balancing innovation and responsibility. Educational Technology Research and Development, 68(4), 2345–2361.
Lin, Y., Mason, D., Zhong, S., Hirsch, C., & Happé, F. (2024). How is “intolerance of uncertainty” (IU) measured? A systematic review of assessment tools for IU and the psychometric properties of IU questionnaires. Clinical Psychology: Science and Practice, 31(2), 179–204
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.
Niño, A. (2009). Machine translation in foreign language learning: Language learners’ and tutors’ perceptions. ReCALL, 21(2), 241–258.
Pérez, M. V., & Salazar, D. (2021). Machine translation and post-editing in EFL teaching. Journal of Language Teaching and Learning, 15(3), 214–230.
UNESCO. (2021). Reimagining our futures together: A new social contract for education. UNESCO Publishing. https://unesdoc.unesco.org/ark:/48223/pf0000379707
Yuan, F., & Gao, Y. (2023). ChatGPT and language learning: Challenges and opportunities in higher education. Educational Technology Research and Development, 71(4), 897–912.
