Review
- Published in
- Volume 9, Issue 3 (2026)
- Pages
- 552–567
- Publication Date
- September 30, 2026
- Submission Date
- July 2, 2026
- Acceptance Date
- September 27, 2026
- Subjects
- Information Systems Education, Educational Technology and Computing
Abstract
With the widespread use of generative AI tools in educational settings, prompt engineering has become increasingly important for obtaining effective and pedagogically meaningful outputs from these tools. However, research addressing prompt engineering in English as a Foreign Language (EFL) pedagogy is scattered across different contexts, skill domains, and methodological approaches, highlighting the need for a synthesis of emerging evidence. Therefore, this study aims to map research conducted between 2022 and 2025 through a scoping review. Studies focusing on prompt design in the EFL context were analysed following PRISMA-ScR guidelines. The findings show that most research was conducted in Asia, with university students as participants, and qualitative/mixed-method designs were prevalent. Prompt engineering was primarily used for writing skills and research competence, promoting learner autonomy but raising concerns about cognitive load, limited teacher guidance, and academic integrity. Three key pedagogical tensions emerged: the balance between theory and practice, learner autonomy vs. cognitive load, and technical output vs. ethical filtering. The study highlights the field’s unestablished nature, emphasising the need for structured frameworks, ethics-focused research, and reliable measurement tools for assessing prompt literacy and ethical competence. It offers a roadmap for researchers, teacher educators, and institutions to address these gaps.
Keywords
- EFL
- GenAI
- scoping review
- prompt engineering
References (59)
- Abdelhalim, S. M. (2024). Using ChatGPT to promote research competency: English as a Foreign Language undergraduates' perceptions and practices across varied metacognitive awareness levels. Journal of Computer Assisted Learning, 40(3), 1261-1275. https://doi.org/10.1111/jcal.12948
- Abduh, A., Rosmaladewi, R., Arham, M., & Asnur, M. N. A. (2025). Empowering EFL learners through generative AI: A qualitative exploration of inclusive and autonomous learning in multicultural contexts. International Journal of Language Education, 9(1), 168-179. https://doi.org/10.26858/ijole.v1i1.74760
- Alam, A. (2021, November). Possibilities and apprehensions in the landscape of artificial intelligence in education. 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), 1-8. IEEE. https://doi.org/10.1109/ICCICA52458.2021.9697272
- Alkhateeb, A., Hezam, A. M. M., & Almuraikhi, A. A. (2025). Assessing the use of AI tools for EFL exam preparation at Saudi universities: efficiency, benefits, and challenges. Cogent Education, 12(1), 2507553. https://doi.org/10.1080/2331186X.2025.2507553
- Aloud, R. E. (2022). Saudi Female EFL Teachers' Cognition and Practices Regarding Online Corrective Feedback in Speaking Class. Arab World English Journal. https://dx.doi.org/10.24093/awej/call8.4
- Alsagoafi, A. A., & Alomran, H. S. (2025). Revolutionizing assessment: Leveraging ChatGPT for automated item generation: An AI-driven exploratory study with EFL teachers. World Journal of English Language, 15(6), 385. https://doi.org/10.5430/wjel.v15n6p385
- Andewi, W., Waziana, W., Wibisono, D., Putra, K. A., Hastomo, T., & Oktarin, I. B. (2025). From prompting to proficiency: a mixed-methods analysis of prompting with ChatGPT versus lecturer interaction in an EFL classroom. Journal of Studies in the English Language, 20(2), 210-238. https://doi.org/10.64731/jsel.v20i2.282318
- Arif, H., & Naeem, J. (2025). The impact of generative AI on learner autonomy and critical thinking in English as a Foreign Language (EFL) writing classrooms. Journal of Applied Linguistics and TESOL (JALT), 8(3), 2264-2275. https://jalt.com.pk/index.php/jalt/article/view/1249
- Arksey, H., & O'Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19-32. https://doi.org/10.1080/1364557032000119616
- Arslan, S. (2025). English-as-a-foreign language university instructors' perceptions of integrating artificial intelligence: A Turkish perspective. System, 131, 103680. https://doi.org/10.1016/j.system.2025.103680
- Ausubel, D. P. (1964). Some psychological and educational limitations of learning by discovery. The Arithmetic Teacher, 11(5), 290-302. https://www.jstor.org/stable/41184964
- Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., Brynjolfsson, E., Buch, S., Cardie, C., Chang, K., Chatterji, N. S., Chen, A. S., Creel, K. A., Davis, J. Q., Demszky, D., ... Liang, P. (2021). On the opportunities and risks of foundation models [Preprint]. arXiv. https://arxiv.org/abs/2108.07258
- Cañas, J. J. (2022). AI and ethics when human beings collaborate with AI agents. Frontiers in Psychology, 13, 836650. https://doi.org/10.3389/fpsyg.2022.836650
- Chapelle, C. A. (2005). Computer-assisted language learning. In Handbook of research in second language teaching and learning (pp. 743-755). Routledge.
- Cheriguene, A., & Dahbi, A. (2025). Between Assistance and Abuse: Exploring the Ethical Use of ChatGPT in Algerian EFL Context. Journal of Legal and Economic Research, 8(2), 78-111.
- Cirstea, M., Benkrid, K., Dinu, A., Ghiriti, R., & Petreus, D. (2024). Digital electronic system-on-chip design: Methodologies, tools, evolution, and trends. Micromachines, 15(2), 247. https://doi.org/10.3390/mi15020247
- Dai, Y., & Panghe, Q. (2025). Why LLMs Driven EFL Writing: A Case Study in Senior Hight School Based on Production-Oriented Approach. International Journal of Learning and Teaching. https://doi.org/10.18178/ijlt.11.5.305-313
- Danesi, M. (2024). AI in foreign language learning and teaching: theory and practice. Nova Science Publishers.
- Derinalp, P. (2024). Past, Present, and Future of Artificial Intelligence in Education: A Bibliometric Study. Sakarya University Journal of Education, 14(Special Issue-AI in Education), 159-178. https://doi.org/10.19126/suje.1447044
- Derinalp, P. (2026). In-Service English Teachers’ Attitudes toward Artificial Intelligence in Education. Ege Eğitim Dergisi, 27(2). https://doi.org/10.12984/egeefd.1856805
- Derinalp, P., & Halife, M. (2025). Pre-Service English as a Foreign Language Teachers’ Attitudes toward Artificial Intelligence. Journal of Theoretical Educational Sciences, 18(3), 609-629. https://doi.org/10.30831/akukeg.1644354
- Derinalp, P., Karjo, C. H., Andreani, W., Ying, Y., & Herawati, A. (2025). Online learning and learner autonomy: a comparative study of Turkish and Indonesian EFL students' perspectives. Journal of Education and Learning (EduLearn), 19(3), 1401-1409. DOI: 10.11591/edulearn.v19i3.21741
- Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
- Floridi, L., & Chiriatti, M. (2020). GPT-3: Its nature, scope, limits, and consequences. Minds and Machines, 30(4), 681-694. https://doi.org/10.1007/s11023-020-09548-1
- Gligorea, I., Cioca, M., Oancea, R., Gorski, A., Gorski, H., & Tudorache, P. (2023). Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review. Education Sciences. https://doi.org/10.3390/educsci13121216
- Hwang, M., Lee, K. H., & Lee, H. K. (2025). A Word to the Wise: Crafting Impactful Prompts for ChatGPT. System, 103756. https://doi.org/10.1016/j.system.2025.103756
- Kerr, R. C., & Kim, H. (2025). From Prompts to Plans: A Case Study of Pre-Service EFL Teachers' Use of Generative AI for Lesson Planning. English Teaching, 80(1), 95-118. https://doi.org/10.15858/engtea.80.1.202503.95
- Knoth, N., Tolzin, A., Janson, A., & Leimeister, J. M. (2024). AI literacy and its implications for prompt engineering strategies. Computers and Education: Artificial Intelligence, 6, 100225. https://doi.org/10.1016/j.caeai.2024.100225
- Kohnke, L., Zou, D., & Xie, H. (2025). Microlearning and generative AI for pre-service teacher education: a qualitative case study. Education and Information Technologies, 1-28. https://doi.org/10.1007/s10639-025-13606-5
- Kundu, A., Bej, T. (2025). Transforming EFL Teaching with AI: A Systematic Review of Empirical Studies. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-025-00470-0
- Levy, M. (1997). Computer-assisted language learning: Context and conceptualization. Oxford University Press.
- Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., & Neubig, G. (2023). Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing. ACM Computing Surveys, 55(9), 1-35. https://doi.org/10.1145/3560815
- Liu, Z.-M., Hwang, G., Chen, C., Chen, X., & Ye, X. (2024). Integrating large language models into EFL writing instruction: effects on performance, self-regulated learning strategies, and motivation. Computer Assisted Language Learning, 39, 466 - 490. https://doi.org/10.1080/09588221.2024.2389923
- Lo, C. K., Yu, P. L. H., Xu, S., Ng, D. T. K., & Jong, M. S. Y. (2024). Exploring the application of ChatGPT in ESL/EFL education and related research issues: A systematic review of empirical studies. Smart Learning Environments, 11(1), 50. https://doi.org/10.1186/s40561-024-00342-5
- Lo, L. S. (2023a). The art and science of prompt engineering: A new literacy in the information age. Internet Reference Services Quarterly, 1-8. https://doi.org/10.1080/10875301.2023.2227621
- Lo, L. S. (2023b). The clear path: A framework for enhancing information literacy through prompt engineering. The Journal of Academic Librarianship, 49(4). https://doi.org/10.1016/j.acalib.2023.102720
- Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017-1054.
- Mizumoto, A., & Teng, M. F. (2025). Large language models fall short in classifying learners’ open-ended responses. Research Methods in Applied Linguistics, 4(2), 100210. https://doi.org/10.1016/j.rmal.2025.100210
- Nawi, S. M., Sain, N., Yusof, S. M., & Kamaludin, P. N. H. (2025). Generative AI in Academic Writing: Exploring ESL students’ strategies and performance. Environment-Behaviour Proceedings Journal, 10(SI30), 55-61. https://doi.org/10.21834/e-bpj.v10iSI30.6879
- Nelson, A., Santamaría, P., Javens, J. S., & Ricaurte, M. (2025). Students’ Perceptions of Generative Artificial Intelligence (GenAI) Use in Academic Writing in English as a Foreign Language. Education Sciences. https://doi.org/10.3390/educsci15050611
- Nguyen, P. A. (2024). Evaluating AI-Generated Language as Models for Strategic Competence in English Language Teaching. IAFOR Journal of Education, 12(3), 325-349.
- Noviyanti, S. D., Hartono, R., Pratama, H., & Bahri, S. (2026). Pedagogical Mediation Through Prompt Engineering: An Expert Evaluation of AI-Generated Feedback on Islamic-Integrated EFL Argumentative Writing. International Journal of Advanced Computer Science and Applications, 17(3). https://doi.org/10.14569/IJACSA.2026.0170340
- Owoc, M. L., Sawicka, A., & Weichbroth, P. (2021). Artificial intelligence technologies in education: Benefits, challenges and strategies of implementation. In M. L. Owoc & M. Pondel (Eds.), Artificial intelligence for knowledge management: AI4KM 2019 (pp. 37–58). Springer. https://doi.org/10.1007/978-3-030-85001-2_4
- Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ: British Medical Journal, 372. https://www.jstor.org/stable/10.2307/27352404
- Renfeng, J., Gang, Y., & Qi, S. (2025). The motivational impact of GenAI tools in language learning: a quasi‐experiment study. International Journal of Applied Linguistics. https://doi.org/10.1111/ijal.12701
- Taşçı, S. (2026). Investigating the relationship between AI self-efficacy, AI anxiety, and gender among Turkish ELT students. Journal of Educational Technology and Online Learning, 9(2), 273-285. https://doi.org/10.31681/jetol.1823794
- Tiandem-Adamou, Y. (2024). Using Generative Artificial Intelligence to Support EFL Students’ Writing Proficiency in University in China. Journal of Educational Technology and Innovation, 6(4). https://doi.org/10.61414/jeti.v6i4.213
- Tricco, A. C., Lillie, E., Zarin, W., O'Brien, K. K., Colquhoun, H., Levac, D., ... & Straus, S. E. (2018). PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Annals of Internal Medicine, 169(7), 467-473. doi: 10.7326/M18-0850
- Urazbayeva, G., Kussainova, R., Aibergen, A., Kaliyeva, A., & Kantayeva, G. (2024). Innovation Off the Bat: Bridging the ChatGPT Gap in Digital Competence among English as a Foreign Language Teachers. Education Sciences, 14(9), 946. https://doi.org/10.3390/educsci14090946
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
- Wang, Q. (2025). EFL learners’ motivation and acceptance of using large language models in English academic writing: an extension of the UTAUT model. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1514545
- White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., Albarghouthi, A., Bakshi, S., Datta, A., & Gehrke, J. (2023). A prompt pattern catalog to enhance prompt engineering with ChatGPT [Preprint]. arXiv. https://arxiv.org/abs/2302.11382
- Woo, D. J., Guo, K., & Susanto, H. (2025a). Exploring EFL students’ prompt engineering in human-AI story writing: an activity theory perspective. Interactive Learning Environments, 33(1), 863-882. https://doi.org/10.1080/10494820.2024.2361381
- Woo, D. J., Guo, K., & Susanto, H. (2025b). EFL secondary students’ use of ChatGPT for writing task completion pathways. The Journal of Educational Research, 1-14. https://doi.org/10.1080/00220671.2025.2510382
- Woo, D. J., Wang, D., & Guo, K. (2025c). Comparing Hong Kong secondary school students’ perceptions of ChatGPT-assisted EFL writing. The Journal of Educational Research, 1-21. https://doi.org/10.1080/00220671.2025.2525243
- Woo, D. J., Wang, D., Guo, K., & Susanto, H. (2024). Teaching EFL students to write with ChatGPT: Students' motivation to learn, cognitive load, and satisfaction with the learning process. Education and Information Technologies, 29(18), 24963-24990.
- Yang, C., Li, R., & Yang, L. (2025). Revisiting Trends in GenAI-Assisted Second Language Writing: Retrospect and Prospect. Journal of Educational Computing Research 1-45. DOI: 10.1177/07356331251367309
- Zaiarna, I., Zhyhadlo, O., & Dunaievska, O. (2024). ChatGPT in foreign language teaching and assessment: exploring EFL instructors’ experience. Information Technologies and Learning Tools, 4(102), 176-191. https://doi.org/10.33407/itlt.v102i4.5716
- Zheng, Y. (D.), & Stewart, N. (2024). Improving EFL students’ cultural awareness: Reframing moral dilemmatic stories with ChatGPT. Computers and Education: Artificial Intelligence, 6, 100223.
This article is published under the CC BY 4.0 license.