- ابراهیمی، مجتبی، طالعی ، محمد حسین،(1404) ، شکاف سنجش گفتار در زبان فارسی: واکاوی تطبیقی قابلیت های هوش مصنوعی و استاندارد مرجع بنیاد سعدی، دوفصلنامه مطالعات بین المللی آموزش زبان فارسی، شماره( 20)
- استاجی، معصومه.، صحرایی، رضا مراد.، و شهباز، منیره. (۱۴۰۳). ارزیابی روانی گفتار آزموندهندگان فارسیآموز خارجی: نقش تکرار و خطای شروع در سطوح مختلف بسندگی زبان فارسی. فصلنامه اندازهگیری تربیتی،۱۵،56، ۶۹-۱۰۲. https://doi.org/10.22054/jem.2024.73106.3454
- اسمی، مهدی و برومند تمبکی، شهداد. (1403). بررسی تاثیر هوش مصنوعی (AI) بر یادگیری مهارت های زبانی در آموزش آنلاین.اولین کنفرانس بین المللی مطالعاتکاربردی در فرایندهای تعلیم و تربیت، بندرعباس. https://civilica.com/doc/2247368
- صبوری، سپهر.، و حاج ملک، محمد مهدی، (1402). استفاده از ظرفیتهای هوش مصنوعی در آموزش تلفظ زبانهای خارجی. نهمین کنفرانس بینالمللی وب پژوهی.
- صحرایی، مراد رضا و همکاران، (1395)، استاندارد مرجع بنیاد سعدی.
- قاسمی، مهدی و برومند تمبکی، شهداد. (1403). بررسی تاثیر هوش مصنوعی (AI) بر یادگیری مهارت های زبانی در آموزش آنلاین. اولین کنفرانس بین المللی مطالعات کاربردی در فرایندهای تعلیم و تربیت، بندرعباس. https://civilica.com/doc/2247368
- Acosta-Rivera, L. G., & Bedón Vaca, C. d. C. (2025). Impacto de la inteligencia artificial en el aprendizaje del inglés como lengua extranjera en estudiantes de bachillerato en Ecuador. Revista RedCA, 8(22). https://doi.org/10.36677/redca.v8i22.26361
- Aryadoust, V., Zakaria, A., Lim, M. H., & Chen, C. (2021). An extensive knowledge mapping review of measurement and validity in language assessment and SLA research. Frontiers in Psychology, 11, 1941. https://doi.org/10.3389/fpsyg.2020.01941
- Bender, E. M., & Koller, A. (2020). Climbing towards NLU: On meaning, form, and understanding in the age of data. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp. 5185–5198). Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.ACL-MAIN.463
- Cicchetti, Domenic. (1994). Guidelines, Criteria, and Rules of Thumb for Evaluating Normed and Standardized Assessment Instruments in Psychology. Psychological Assessment. 6. 284-290. 10.1037/1040-3590.6.4.284.
- Chapelle, C. A., & Voss, E. (Eds.). (2021). Validity argument in language testing: Case studies of validation research. Cambridge University Press. https://assets.cambridge.org/97811084/84022/frontmatter/9781108484022_frontmatter.pdf
- Dakhil, T. A., Karimi, F., Al-Jashami, R. A. U., & Ghabanchi, Z. G. (2025).[1][2][3] The effect of artificial intelligence (AI)-mediated speaking assessment on speaking performance and willingness to communicate of Iraqi EFL learners. International Journal of Language Testing, 15(2), 1-18.[1][2] 22034/ijlt.2024.486564.1383
- Fakhrurriana, R., & Herdina, G. F. (2024). Assessment test of receptive skills: Listening and reading comprehension of recount text using AI platform (Atomic Learning). International Conference on Religion, Spirituality and Education (ICRSE), 3, 211-218. [https://sunankalijaga.org/prosiding/index.php/icrse/article/view/1244]
- Gomede, E. (2024, March 27). Decoding the unspoken: Advancements in pragmatic analysis within natural language processing. The Modern Scientist. https://medium.com/the-modern-scientist/decoding-the-unspoken-advancements-in-pragmatic-analysis-within-natural-language-processing-d6358775a099
- Grab, M. O. (2025). Strategies for integrating Artificial Intelligence (AI) to improve and assess English oral communication skills. International Journal of Research in Education and Science, 11(3), 533-552. https://eric.ed.gov/?id=EJ1480918
- Hınız, G. (2026). Using AI to enhance receptive foreign language skills. In AI's Role in Language Learning and Communication (pp. 36-71). IGI Global. https://doi.org/10.4018/979-8-3373-5681-5.ch003
- Huth, T. (2020). Testing interactional competence: Patterned yet dynamic aspects of L2 interaction. Papers in Language Testing and Assessment, 9(1), 1–25.
- Likert, R. (1932). A technique for the measurement of attitudes. The Science Press. (Archives of Psychology, No. 140)
- Ie, X., & Jaeger, T. F. (2020). Comparing non-native and native speech: Are L2 productions more variable? The Journal of the Acoustical Society of America, 147(5), 3322–3347. https://doi.org/10.1121/10.0001141
- Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., Ishii, E., Bang, Y. J., Madotto, A., & Fung, P. (2023). Survey of hallucination in natural language generation. ACM Computing Surveys, 55(12), 1–38. https://doi.org/10.1145/3571730
- Kane, M. T. (2013). Validating the interpretations and uses of test scores. Journal of Educational Measurement, 50(1), 1–73. https://doi.org/10.1111/jedm.12000
- Lascano Pérez, M. J., & Altamirano Carvajal, S. P. (2025). Aplicación de la Inteligencia Artificial en las habilidades productivas y receptivas en la enseñanza del idioma inglés. DATEH,
- 7(1).
- Liu, X. J., Wang, J., & Zou, B. (2025). Evaluating an AI speaking assessment tool: Score accuracy, perceived validity, and oral peer feedback. Journal of English for Academic Purposes, 75, 101505.
- López-Minotta, K. L., Chiappe, A., & Mella-Norambuena, J. (2025). Implementation of artificial intelligence to improve English oral expression. Multidisciplinary Journal of Educational Research (REMIE), 15(1), 43-71. https://doi.org/10.17583/remie.16188
- Nigmatulina, I., Kew, T., & Samardžić, T. (2020). ASR for non-standardised languages with dialectal variation: The case of Swiss German. In M. Zampieri, P. Nakov, N. Ljubešić, J. Tiedemann, & Y. Scherrer (Eds.), Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects (pp. 15–24). International Committee on Computational Linguistics (ICCL). https://aclanthology.org/2020.vardial-1.2/
- Raud, N. (2025). Automatic assessment of L2 interactional competency [Master’s thesis, Aalto University].
- Saputra, A. E., & Widiastuty, H. (2024). The role of artificial intelligence in overcoming challenges in learning English speaking skills. International Seminar Universitas Tulungagung, 6, 162-171.
- Valle Torres, M. (2025). Aporte de la Inteligencia Artificial o plataforma como medio de aprendizaje de inglés para el desarrollo de habilidades lingüísticas en estudiantes de Ingeniería. Ciencia Latina Revista Científica Multidisciplinar, 9(6). https://doi.org/10.37811/cl_rcm.v9i6.21465
- Voss, E., Cushing, S. T., Ockey, G. J., & Yan, X. (2023). The use of assistive technologies including generative AI by test takers in language assessment: A debate of theory and practice. Language Assessment Quarterly, 20(4-5), 520-532. https://doi.org/10.1080/15434303.2023.2288256
- Yi, P., Xia, Y., & Long, Y. (2025). Irony detection, reasoning and understanding in zero-shot learning. arXiv. https://doi.org/10.48550/arXiv.2501.16884
- Zou, B., et al. (2024). Exploring EFL learners’ perceived promise and limitations of using an artificial intelligence speech evaluation system. System, 126, 103497.
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