A Conceptual Exploration of AI-Generated Tools in English Language Teaching and Learning

The rapid uptake of Artificial intelligence (AI) in language education has outpaced systematic reflection on its pedagogical, ethical, and human implications. This paper examines the transformative potential of AI-generated tools in English language education, aiming to clarify their pedagogical roles and to identify ways these technologies can be strategically leveraged to enhance teaching effectiveness and learning outcomes. Rather than reporting empirical findings, this conceptual paper synthesises contemporary literature to develop an integrated conceptual perspective on AI-enabled instruction, assessment, and learner support. It critically explores current trends and practices, including personalised learning systems, natural language processing-based tools, interactive chatbots, and automated assessment and feedback mechanisms. In advancing potential applications of AI, it delves into hyper-personalised learning platforms and immersive multimodal simulation and predictive co-teaching aids, while also addressing persistent challenges related to overreliance, privacy risks, and ethical concerns. The discussion foregrounds the necessity of comprehensive AI literacy training for educators, the establishment of robust and adaptive policy frameworks, and the development of ethically grounded guidelines that are sensitive to cultural and contextual diversity. Emphasis is also placed on interdisciplinary collaboration between academic institutions and AI developers, as well as teacher-student readiness and ethical integration within classroom environments. Central to the paper’s argument is a balanced model of human-AI collaboration, in which AI tools are viewed as cognitive and pedagogical partners that augment, rather than replace professional judgement and relational dimensions of teaching. Framed through the concepts of collaborative intelligence and a paradox mindset, the paper argues that tensions between automation and human expertise can be productively harnessed to support meaningful learning. Finally, the paper underscores the need for future research to move beyond conceptual promise by prioritising rigorous empirical inquiry that evaluates the effectiveness, trustworthiness, and ethical implications of AI-generated tools across diverse educational contexts.

Artificial Intelligence, English Language, Teaching and Learning, AI-generated tools

1. Abas, N. F. T. &. Z. (2022). Is the Direct Method still Effective in Teaching English Speaking Skills in Indonesia? Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.6316949 [Google Scholar] [Crossref]

2. Akhter, E. (2025). AI In the Classroom: Evaluating The Effectiveness Of Intelligent Tutoring Systems For Multilingual Learners In Secondary Education. ASRC Procedia: Global Perspectives in Science and Scholarship, 1(01), 532-563.https://doi.org/10.63125/gcq1qr39 [Google Scholar] [Crossref]

3. Akinnagbe, O. B. (2024). Human-AI collaboration: enhancing productivity and Decision-Making. International Journal of Education Management and Technology, 2(3), 387–417. https://doi.org/10.58578/ijemt.v2i3.4209 [Google Scholar] [Crossref]

4. Albukbak, O. A., & Msimeer, A. M. (2021). Methods and Approaches of Teaching English: a Historical Review. Mağallaẗ Kulliyyaẗ Al-ādāb, 17, 79–98. https://doi.org/10.36602/faj/2021.n17.14 [Google Scholar] [Crossref]

5. Allam, H., Hua, D., Orozco, L., Gyamfi, B. K., & Ahengua, D. (2025). Bias in AI: A Comparative Analysis of DeepSeek and ChatGPT. The Artificial Intelligence Business Review, 1(1). https://theaibr.com/index.php/aibr [Google Scholar] [Crossref]

6. Aljuaid, H. (2024). The impact of artificial intelligence tools on academic writing instruction in higher education: A systematic review. Arab World English Journal (AWEJ) Special Issue on ChatGPT. https://dx.doi.org/10.24093/awej/ChatGPT.2 [Google Scholar] [Crossref]

7. Almegren, A., Almegren, R. M., Hazaea, A. N., Mahdi, H. S., & Ali, J. K. M. (2025). AI powered ELT: Instructors’ transformative roles and opportunities. PLoS ONE, 20(5), e0324910. https://doi.org/10.1371/journal.pone.0324910 [Google Scholar] [Crossref]

8. Alshater, M. M. (2022). Exploring the role of artificial intelligence in enhancing academic performance: A case study of ChaTGPT. Social Science Research Network. https://doi.org/10.2139/ssrn.4312358 [Google Scholar] [Crossref]

9. Al-Zyoud, H. M. M. (2020). The role of artificial intelligence in teacher professional development. Universal Journal of Educational Research, 8(11B), 6263–6272. https://doi.org/10.13189/ujer.2020.082265 [Google Scholar] [Crossref]

10. Amini, L., Korth, H. F., Patel, N., Peck, E., & Zorn, B. (2025). Empowering the Future Workforce: Prioritizing Education for the AI-Accelerated Job Market. arXiv preprint arXiv:2503.09613. [Google Scholar] [Crossref]

11. Avsheniuk, N., Seminikhyna, N., Ruban, L., & Sviatiuk, Y. (2025). Exploring Overreliance on AI Tools in English for Specific Purposes Courses: Challenges and Implications for Learning and Academic Integrity. https://awej.org/wp-content/uploads/2025/04/1.pdf [Google Scholar] [Crossref]

12. Baker, R. S., & Hawn, A. (2021). Algorithmic bias in education. International Journal of Artificial Intelligence in Education, 32(4), 1052–1092. https://doi.org/10.1007/s40593-021-00285-9 [Google Scholar] [Crossref]

13. Berendt, B., Littlejohn, A., & Blakemore, M. (2020). AI in education: learner choice and fundamental rights. Learning, Media & Technology/Learning, Media and Technology, 45(3), 312–324. https://doi.org/10.1080/17439884.2020.1786399 [Google Scholar] [Crossref]

14. Beshiri, U. H. (2024). Comparative analysis of language teaching methods: A systematic review. Učitel/Teacher, 27, 62–71. https://doi.org/10.20544/teacher.27.07 [Google Scholar] [Crossref]

15. Bhatia, P. (2023). ChatGPT for academic writing: A game changer or a disruptive tool? Journal of Anaesthesiology Clinical Pharmacology, 39(1), 1–2. https://doi.org/10.4103/joacp.joacp_84_23 [Google Scholar] [Crossref]

16. Bianchi, I. (2024). Integrating AI in Education: Strategies for enhancing Critical Thinking through Technology. ResearchGate. https://www.researchgate.net/publication/384632240_Integrating_AI_in_Education_Strategies_for_Enhancing_Critical_Thinking_Through_Technology [Google Scholar] [Crossref]

17. Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., & Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-023-00436-z [Google Scholar] [Crossref]

18. Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00408-3 [Google Scholar] [Crossref]

19. Cheong, C. M., Luo, N., Zhu, X., Lu, Q., & Wei, W. (2022). Self-assessment complements peer assessment for undergraduate students in an academic writing task. Assessment & Evaluation in Higher Education, 48(1), 135–148. https://doi.org/10.1080/02602938.2022.2069225 [Google Scholar] [Crossref]

20. Creely, E. (2024). Exploring the Role of Generative AI in Enhancing Language Learning: Opportunities and challenges. Deleted Journal. https://doi.org/10.47852/bonviewijce42022495 [Google Scholar] [Crossref]

21. Cui, J. (2022). Applying Communicative Language Teaching in Classroom English Language lesson curriculum. Journal of Contemporary Educational Research, 6(11), 48–60. https://doi.org/10.26689/jcer.v6i11.4531 [Google Scholar] [Crossref]

22. Dempere, J., Modugu, K. P., Hesham, A., & Ramasamy, L. (2023). The impact of chatgpt on higher education. Frontiers in Education, 8, 1206936. https://doi.org/10.3389/feduc.2023.1206936 [Google Scholar] [Crossref]

23. De Oliveira Lima, L. A., Gomes, L. P., Da Silva E Silva, P. H., Da Silva Oliveira, E. F., Nascimento, M. D., Tourem, R. V., De Araújo Gonçalves, J. N., Da Silva Lima, A., Sobral, R., & Da Mota Pereira Dos Santos, I. (2024). Artificial intelligence and its use in the educational process. In Seven Editora eBooks. https://doi.org/10.56238/sevened2024.002-043 [Google Scholar] [Crossref]

24. Dilzhan, B. (2024). Teaching English and Artificial Intelligence: EFL Teachers’ Perceptions and Use of ChatGPT. https://doi.org/10.35542/osf.io/fwy92 [Google Scholar] [Crossref]

25. Djauhar, R. (2021). The Grammar Translation Method, the Direct Method, and the Audio-Lingual Method. jurnal.isdikkieraha.ac.id. https://doi.org/10.5281/zenodo.4642999 [Google Scholar] [Crossref]

26. Funa, A. A., & Gabay, R. a. E. (2024). Policy guidelines and recommendations on AI use in teaching and learning: A meta-synthesis study. Social Sciences & Humanities Open, 11, 101221. https://doi.org/10.1016/j.ssaho.2024.101221 [Google Scholar] [Crossref]

27. Fengchun, M., Holmes, W., Huang, R., & Zhang, H. (2021). AI and education: Guidance for policy-makers. United Nations Educational, Scientific and Cultural Organization (UNESCO). https://unesdoc.unesco.org/ark:/48223/pf0000376709 [Google Scholar] [Crossref]

28. Galindo-Domínguez, H., Delgado, N., Losada, D., & Etxabe, J. (2023). An analysis of the use of artificial intelligence in education in Spain: The in-service teacher’s perspective. Journal of Digital Learning in Teacher Education, 40(1), 41–56. https://doi.org/10.1080/21532974.2023.2284726 [Google Scholar] [Crossref]

29. Gao, L., López-Pérez, M. E., Melero-Polo, I., & Trifu, A. (2024). Ask ChatGPT first! Transforming learning experiences in the age of artificial intelligence. Studies in Higher Education, 49(12), 2772–2796. https://doi.org/10.1080/03075079.2024.2323571 [Google Scholar] [Crossref]

30. Gomes, D. (2024). A comprehensive study of advancements in intelligent tutoring systems through artificial intelligent education platforms. In Advances in educational technologies and instructional design book series (pp. 213–244). https://doi.org/10.4018/979-8-3693-6170-2.ch008 [Google Scholar] [Crossref]

31. Hariyanto, N., Kristianingsih, F. X. D., & Maharani, R. (2025). Artificial intelligence in adaptive education: a systematic review of techniques for personalized learning. Discover Education, 4(1). https://doi.org/10.1007/s44217-025-00908-6 [Google Scholar] [Crossref]

32. Herdiani, A., & Rosmansyah, Y. (2024). Building trust in an artificial intelligence‑based educational support system: A narrative review. Jurnal Sosioteknologi, 23(1). https://doi.org/10.5614/sostek.itbj.2024.23.1.6 [Google Scholar] [Crossref]

33. Hermansyah, S., & Mothe, P. (2025). Enhancing Speaking skills: The Impact of the Audio-Lingual Method on Eighth-Grade Students. Lingua Journal of Linguistics and Language, 3(1), 38–49. https://doi.org/10.61978/lingua.v3i1.716 [Google Scholar] [Crossref]

34. Hubbard, P., & Schulze, M. (2025). AI and the Future of Language Teaching. International Journal of Computer-Assisted Language Learning and Teaching, 15(1), 1–17. https://doi.org/10.4018/ijcallt.378304 [Google Scholar] [Crossref]

35. Huang, X., Zou, D., Cheng, G., & Xie, H. (2021). A Systematic review of AR and VR Enhanced Language Learning. Sustainability, 13(9), 4639. https://doi.org/10.3390/su13094639 [Google Scholar] [Crossref]

36. Inamjanovna, R. N., & Jordánová, B. (2023). The Main Reasons for Learning English as the Main Foreign Language in the World and the Results of Its Relevance. European Journal of Humanities and Educational Advancements, 4(4), 2660–5589. https://media.neliti.com/media/publications/605800-the-main-reasons-for-learning-english-as-a7beec7f.pdf [Google Scholar] [Crossref]

37. Jambol, J., Mohamad Ridzuan, M. I., Zakaria, N. S., Zakaria, Z., & Awang Jambol, N. (2025). Unveiling AI in Education: A Global Bibliometric Review of Research Trends, Key Theories, and Innovations. ASEAN Artificial Intelligence Journal, 1(1), 46–61. https://doi.org/10.37934/aaij.1.1.4661 [Google Scholar] [Crossref]

38. Jones, M., Taylor, S., & Garcia, P. (2023). Artificial intelligence as a catalyst for student creativity: Evidence from recent studies. Journal of Creative Education, 10(1), 45-60 [Google Scholar] [Crossref]

39. Kakunta, K., & Kamanga, W. (2020). Microteaching: audio-lingual method. Journal Educational Verkenning, 1(1), 25–30. https://doi.org/10.48173/jev.v1i1.27 [Google Scholar] [Crossref]

40. Kamalov, F., Calonge, D. S., & Gurrib, I. (2023). New era of Artificial intelligence in Education: Towards a sustainable Multifaceted Revolution. Sustainability, 15(16), 12451. https://doi.org/10.3390/su151612451 [Google Scholar] [Crossref]

41. Keo, V., & Lan, B. (2024). Exploring Language Teaching Methods: An In-Depth Analysis of Grammar Translation, direct Method, and Audiolingual Method: A literature review. International Journal of Advance Social Sciences and Education, 2(2), 151–168. https://doi.org/10.59890/ijasse.v2i2.1766 [Google Scholar] [Crossref]

42. Kitcharoen, P., Howimanporn, S., & Chookaew, S. (2024). Enhancing Teachers’ AI Competencies through Artificial Intelligence of Things Professional Development Training. International Journal of Interactive Mobile Technologies (iJIM), 18(02), 4–15. https://doi.org/10.3991/ijim.v18i02.46613 [Google Scholar] [Crossref]

43. Klimova, B., & Pikhart, M. (2025). Exploring the effects of artificial intelligence on student and academic well-being in higher education: a mini-review. Frontiers in Psychology, 16, 1498132. https://doi.org/10.3389/fpsyg.2025.1498132 [Google Scholar] [Crossref]

44. Krsmanovic, G., & Deek, F. P. (2024). AI in the learning environment: Examination of pedagogical, psychological, and ethical implications. In C. Goncalves & J. C. D. Rouco (Eds.), Proceedings of the 4th International Conference on AI Research (ICAIR 2024) (pp. 210–217). Academic Conferences International Limited. https://doi.org/10.34190/icair.4.1.3019 [Google Scholar] [Crossref]

45. Krishna S, L., Prasad C, J., & S, A. (2024). The Impact of Artificial Intelligence in Reshaping Education: An Analysis Based on Learning Theories. ITM Web of Conferences, 68, 01008. https://doi.org/10.1051/itmconf/20246801008 [Google Scholar] [Crossref]

46. Kumar, M. (2022). Learning a Language using Grammar Translation Method. Research Review International Journal of Multidisciplinary, 7(4), 03–05. https://doi.org/10.31305/rrijm.2022.v07.i04.002 [Google Scholar] [Crossref]

47. Leon, C., Lipuma, J., & Oviedo-Torres, X. (2025). Artificial intelligence in STEM education: a transdisciplinary framework for engagement and innovation. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1619888 [Google Scholar] [Crossref]

48. Lin, C., Cheng, E. S., Huang, A. Y., & Yang, S. J. (2024). DNA of learning behaviors: A novel approach of learning performance prediction by NLP. Computers and Education Artificial Intelligence, 6, 100227. https://doi.org/10.1016/j.caeai.2024.100227 [Google Scholar] [Crossref]

49. Liu, L., Han, M., Pouriyeh, S., Zhou, Y., & Dehbozorgi, N. (2025). Beyond One-Size-Fits-All: An AI-Driven Approach for Personalized Quizzes Using Clustering and ChatGPT. International Journal of Information and Education Technology, 15(9). https://www.ijiet.org/vol15/IJIET-V15N9-2378.pdf [Google Scholar] [Crossref]

50. Marvi, R., Foroudi, P., & AmirDadbar, N. (2025). Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration. International Journal of Information Management, 83, 102908. https://doi.org/10.1016/j.ijinfomgt.2025.102908 [Google Scholar] [Crossref]

51. Mohamad Sahidan, M. S. Z., Kamaruzaman, N. I., Kamarudin, S. S., Hashim, H., & Yaccob, N. S. (2025). Language learning strategies for speaking proficiency: A case study in an Islamic religious school. International Journal of Research and Innovation in Social Science (IJRISS), 9(6), 4955–4964. https://doi.org/10.47772/IJRISS.2025.906000377 [Google Scholar] [Crossref]

52. Mu, Y., Lee, S., & Choe, H. (2023). Factors influencing English as a lingua franca communication: A case of an international university in China. System, 116, 103075. https://doi.org/10.1016/j.system.2023.103075 [Google Scholar] [Crossref]

53. Mouta, A., Torrecilla-Sánchez, E. M., & Pinto-Llorente, A. M. (2024). Comprehensive professional learning for teacher agency in addressing ethical challenges of AIED: Insights from educational design research. Education and Information Technologies, 30(3), 3343–3387. https://doi.org/10.1007/s10639-024-12946-y [Google Scholar] [Crossref]

54. Naghiyeva, G. (2025). Revamping Traditional methods: Evaluating the Grammar-Translation method in modern language teaching. Acta Globalis Humanitatis Et Linguarum, 2(1), 88–97. https://doi.org/10.69760/aghel.02500111 [Google Scholar] [Crossref]

55. Nazari, N., Shabbir, M. S., & Setiawan, R. (2021). Application of Artificial Intelligence powered digital writing assistant in higher education: randomized controlled trial. Heliyon, 7(5), e07014. https://doi.org/10.1016/j.heliyon.2021.e07014 [Google Scholar] [Crossref]

56. Negi, A., Verma, C. V., & Tayyebi, Y. (2024a). Artificial Intelligence Empowered Language Models: A review. Lecture Notes in Networks and Systems, 535–548. https://doi.org/10.1007/978-981-99-9524-0_40 [Google Scholar] [Crossref]

57. Ng, S. F., Azlan, M. a. K., Kamal, A. N. A., & Manion, A. (2020). A quasi-experiment on using guided mobile learning interventions in ESL classrooms: Time use and academic performance. Education and Information Technologies, 25(6), 4699–4719. https://doi.org/10.1007/s10639-020-10191-7 [Google Scholar] [Crossref]

58. Nwachukwu, E. L., Egbue, N. N. G., & Victor-Nwakaku, N. I. (2025). Adaptive Learning Systems: Bridging Instructional Technology and Personalized Pedagogy through Design Thinking. JOURNAL OF DIGITAL LEARNING AND DISTANCE EDUCATION, 4(5), 1689–1703. https://doi.org/10.56778/jdlde.v4i5.588 [Google Scholar] [Crossref]

59. Nyaaba, M., & Zhai, X. (2024). Generative AI professional development needs for teacher educators. Journal of AI, 8(1), 1–13. https://doi.org/10.61969/jai.1385915 [Google Scholar] [Crossref]

60. Orujlu, A. (2025). Evolution of Language Teaching Methodologies: From Grammar-Translation to Communicative Approaches. Global Spectrum of Research and Humanities., 2(5), 144–155. https://doi.org/10.69760/gsrh.0250205017 [Google Scholar] [Crossref]

61. Parker, L., Hayes, J., Karakas, A., & Hallman, H. (2025). Comparative analysis of artificial intelligence policies in universities across five countries. Discover Computing, 28(1). https://doi.org/10.1007/s10791-025-09745-5 [Google Scholar] [Crossref]

62. Prajapati, N. D. R. A. (2022). Conceptual Investigation of the Global Significance of English Language: A Contextual Study with Special Reference to India. Research Ambition : An International Multidisciplinary E-journal, 7(II), 01–03. https://doi.org/10.53724/ambition/v7n2.02 [Google Scholar] [Crossref]

63. Pushparani, Radika, Sanjana C M, & Apeksha M S. (2025). Review On: Collaboration Intelligence in Education. International Research Journal on Advanced Engineering Hub (IRJAEH), 3(09), 3606–3611. https://doi.org/10.47392/irjaeh.2025.0526 [Google Scholar] [Crossref]

64. Rusmiyanto, R., Huriati, N., Fitriani, N., Tyas, N. K., Rofi’i, A., & Sari, M. N. (2023). The role of artificial intelligence (AI) in developing English language learner’s communication skills. Journal on Education, 6(1), 750–757. https://doi.org/10.31004/joe.v6i1.2990 [Google Scholar] [Crossref]

65. Sadeghiani, A. (2024). Generative AI Carries Non-Democratic Biases and Stereotypes: Representation of Women, Black Individuals, Age Groups, and People with Disability in AI-Generated Images across Occupations. arXiv preprint arXiv:2409.13869. https://arxiv.org/abs/2409.13869 [Google Scholar] [Crossref]

66. Sangeetha, N.R. (2025). Do Artificial intelligence Enhance creativity of Students? : An Exploratory study. ResearchGate. https://www.researchgate.net/publication/393461600_Do_Artificial_Intelligence_Enhance_Creativity_of_Students_An_Exploratory_Study [Google Scholar] [Crossref]

67. Sarker, I. H. (2022). AI-Based modeling: techniques, applications and research issues towards automation, intelligent and smart systems. SN Computer Science, 3(2), 158. https://doi.org/10.1007/s42979-022-01043-x [Google Scholar] [Crossref]

68. Shukla, H. & Pandey, K. (2025). Human-AI Collaboration in Teaching and Learning. https://doi.org/10.13140/rg.2.2.28404.46729 [Google Scholar] [Crossref]

69. Sirohi, N. (2023). Significance of English language for progress of Indian development. International Journal of Research in English, 5(1), 32–35. https://doi.org/10.33545/26648717.2023.v5.i1a.71 [Google Scholar] [Crossref]

70. Statista. (2025, October 28). The most spoken languages worldwide as of 2025 (in millions of speakers). Statista. https://www.statista.com/statistics/266808/the-most-spoken-languages-worldwide/ [Google Scholar] [Crossref]

71. Tammets, K., & Ley, T. (2023). Integrating AI tools in teacher professional learning: a conceptual model and illustrative case. Frontiers in Artificial Intelligence, 6. https://doi.org/10.3389/frai.2023.1255089 [Google Scholar] [Crossref]

72. Tan, L. Y., Hu, S., Yeo, D. J., & Cheong, K. H. (2025). Artificial intelligence-enabled adaptive learning platforms: A review. Computers and Education Artificial Intelligence, 9, 100429. https://doi.org/10.1016/j.caeai.2025.100429 [Google Scholar] [Crossref]

73. Teng, M. F., & Wang, C. (2022). Assessing academic writing self‐efficacy belief and writing performance in a foreign language context. Foreign Language Annals, 56(1), 144–169. https://doi.org/10.1111/flan.12638 [Google Scholar] [Crossref]

74. Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1). https://doi.org/10.1186/s40561-023-00237-x [Google Scholar] [Crossref]

75. Umar, U. (2024). Advancements in English language Teaching: Harnessing the power of Artificial Intelligence. Foreign Language Instruction Probe, 3(1), 29–42. https://doi.org/10.54213/flip.v3i1.402 [Google Scholar] [Crossref]

76. Verghis, A. M., Jose, B., Sheeja, P. R., Varghese, S. M., Mumthas, S., & Shaiju, K. S. (2025). Beyond personalization: autonomy and agency in intelligent systems education. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1610239 [Google Scholar] [Crossref]

77. Wang, F., Li, N., Cheung, A. C., & Wong, G. K. (2025). In GenAI we trust: An investigation of university students’ reliance on and resistance to generative AI in language learning. International Journal of Educational Technology in Higher Education, 22(1), 59. https://link.springer.com/content/pdf/10.1186/s41239-025-00547-9.pdf [Google Scholar] [Crossref]

78. Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems With Applications, 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167 [Google Scholar] [Crossref]

79. Xu, K. (2023). Chasing back and moving on—A comprehensive overview on communicative language teaching. The Educational Review USA, 7(3), 321–324. https://doi.org/10.26855/er.2023.03.006 [Google Scholar] [Crossref]

80. Xu, Y., Liu, X., Cao, X., Huang, C., Liu, E., Qian, S., Liu, X., Wu, Y., Dong, F., Qiu, C., Qiu, J., Hua, K., Su, W., Wu, J., Xu, H., Han, Y., Fu, C., Yin, Z., Liu, M., . . . Zhang, J. (2021). Artificial intelligence: A powerful paradigm for scientific research. The Innovation, 2(4), 100179. https://doi.org/10.1016/j.xinn.2021.100179 [Google Scholar] [Crossref]

81. Yan, W., Li, B., & Lowell, V. L. (2025). Integrating Artificial intelligence and Extended Reality in language Education: A Systematic Literature Review (2017–2024). Education Sciences, 15(8), 1066. https://doi.org/10.3390/educsci15081066 [Google Scholar] [Crossref]

82. Yang, L. (2024). The evolution and effectiveness of communicative language teaching: A comprehensive literature review. Scientific Journal of Technology. https://doi.org/10.54691/7e22k564 [Google Scholar] [Crossref]

83. Yesilyurt, Y. E. (2023). AI-Enabled assessment and feedback mechanisms for language learning. In Advances in educational technologies and instructional design book series (pp. 25–43). https://doi.org/10.4018/978-1-6684-9893-4.ch002 [Google Scholar] [Crossref]

84. Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: a systematic review. Smart Learning Environments, 11(1). https://doi.org/10.1186/s40561-024-00316-7 [Google Scholar] [Crossref]

85. , C., Rice, R. E., & Wang, L. H. (2024). College students’ literacy, ChatGPT activities, educational outcomes, and trust from a digital divide perspective. New Media & Society, 14614448241301741. https://journals.sagepub.com/doi/full/10.1177/14614448241301741 [Google Scholar] [Crossref]

86. Zhao, X., Sbaffi, L., & Cox, A. (2023, July 3). The Digitisation of Writing in Higher Education: Exploring the use of Wordtune as an AI writing assistant. OSF. https://osf.io/preprints/osf/uzwy7_v1 [Google Scholar] [Crossref]

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