LINGUVODIDACTIC POSSIBILITIES OF AI-BASED WRITTEN SPEECH ASSESSMENT AND INDIVIDUAL FEEDBACK

Authors

  • Raxmonova E’zoza Samarkand State Institute of Foreign Languages 2nd year student

DOI:

https://doi.org/10.55640/

Keywords:

: AI-based feedback, written communication, writing, assessment, rubric, academic literacy, editing.

Abstract

This article examines the methodological potential of using artificial intelligence technologies to provide individualized feedback on writing tasks, identify learners’ written errors, and develop students’ rewriting and editing strategies. The study discusses both theoretical foundations and practical aspects of integrating digital technologies and AI-based tools into foreign language teaching. Particular attention is given to teacher supervision, academic integrity, the communicative approach, and the formation of an individual learning trajectory as essential methodological conditions for the effective use of AI in writing instruction.

Downloads

Download data is not yet available.

References

1.Azimov E.G., Shchukin A.N. Novyy slovar metodicheskikh terminov i ponyatiy. Moskva: IKAR, 2009.

2.Beatty K. Teaching and Researching Computer-Assisted Language Learning. London: Routledge, 2010.

3.Chapelle C.A., Sauro S. The Handbook of Technology and Second Language Teaching and Learning. Hoboken: Wiley-Blackwell, 2017.

4.Council of Europe. Common European Framework of Reference for Languages: Learning, Teaching, Assessment. Companion Volume. Strasbourg: Council of Europe Publishing, 2020.

5.Galskova N.D., Gez N.I. Teoriya obucheniya inostrannym yazykam. Lingvodidaktika i metodika. Moskva: Akademiya, 2006.

6.Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign, 2019.

7.Jalolov J.J. Chet til o‘qitish metodikasi. Toshkent: O‘qituvchi, 2012.

8.Kukulska-Hulme A., Shield L. An overview of mobile assisted language learning. ReCALL, 2008, 20(3), 271-289.

9.Passov E.I. Kommunikativnyy metod obucheniya inoyazychnomu govoreniyu. Moskva: Prosveshcheniye, 1991.

10.Redecker C. European Framework for the Digital Competence of Educators: DigCompEdu. Luxembourg: Publications Office of the European Union, 2017.

11.Selwyn N. Should Robots Replace Teachers? AI and the Future of Education. Cambridge: Polity Press, 2019.

12.UNESCO. AI Competency Framework for Teachers. Paris: UNESCO, 2024.

13.UNESCO. Guidance for Generative AI in Education and Research. Paris: UNESCO, 2023.

14.Warschauer M., Healey D. Computers and language learning: An overview. Language Teaching, 1998, 31(2), 57-71.

15.Xodjayev B.X. Umumiy pedagogika nazariyasi va amaliyoti. Toshkent: Sano-standart, 2017.

Downloads

Published

2026-06-06

Issue

Vol. 5 No. 6 (2026): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

LINGUVODIDACTIC POSSIBILITIES OF AI-BASED WRITTEN SPEECH ASSESSMENT AND INDIVIDUAL FEEDBACK. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(6), 223-227. https://doi.org/10.55640/

Similar Articles

21-30 of 3029

You may also start an advanced similarity search for this article.