The article examines a methodology for enhancing students’ intellectual-communicative competence in inclusive higher education through the pedagogically grounded use of artificial intelligence. Drawing on approaches to communicative competence, competency-based learning, Universal Design for Learning, and AI-assisted language education, intellectual-communicative competence is defined as an integrative ability to analyze information, formulate and justify a position, interact effectively in a foreign language, and regulate learning through reflection. A four-component structure is proposed, comprising motivational-axiological, cognitive-intellectual, communicative-activity, and reflective-regulatory components. The study substantiates a methodological cycle of “diagnosis – intellectualization – communication – feedback – reflection” and identifies conditions for its implementation in an inclusive environment, including personalization, differentiation, accessibility, critical verification of AI-generated responses, and teacher mediation. The article argues that artificial intelligence should function as a cognitive-communicative tool rather than a source of ready-made answers and concludes that the proposed model requires experimental validation in authentic educational settings.
| Mualliflar | Kadyrova, Makhynysa Benozhanovna |
|---|---|
| Jurnal | Lingvospektr |
| Nashriyot | Ўзбекистон давлат жаҳон тиллари университети, “Modern Scientific Research” MChJ |
| ISSN | 3060-4958 |
| Nashr sanasi | 2026-10-04 |
| Jild | 9 |
| Son | 1 |
| Betlar | 350-361 |
| Til | Ingliz |
| Ilmiy soha | Pedagogika |
| DOI | 10.5281/zenodo.23134249 |
| Indeksga qo‘shilgan | 2026-10-04 |
DOI: 10.5281/zenodo.23134249 · Maqolaning asl sahifasi
Artificial intelligence, intellectual-communicative competence, inclusive education, foreign language education, digital pedagogy, reflection
| APA | Kadyrova, Makhynysa Benozhanovna (2026). Methodology for improving students’ intellectual-communicative competence through artificial intelligence in inclusive education. Lingvospektr, 9(1), 350-361. https://doi.org/10.5281/zenodo.23134249 |
|---|---|
| GOST (OAK) | Kadyrova, Makhynysa Benozhanovna Methodology for improving students’ intellectual-communicative competence through artificial intelligence in inclusive education // Lingvospektr. – 2026. – T. 9, № 1. – P. 350-361. – DOI: 10.5281/zenodo.23134249. |
| MLA | Kadyrova, Makhynysa Benozhanovna. “Methodology for improving students’ intellectual-communicative competence through artificial intelligence in inclusive education.” Lingvospektr, 9(1), 350-361, 2026. https://doi.org/10.5281/zenodo.23134249 |
| Chicago | Kadyrova, Makhynysa Benozhanovna. “Methodology for improving students’ intellectual-communicative competence through artificial intelligence in inclusive education.” Lingvospektr, 9(1), 350-361 (2026). https://doi.org/10.5281/zenodo.23134249 |
| Harvard | Kadyrova, Makhynysa Benozhanovna (2026) ‘Methodology for improving students’ intellectual-communicative competence through artificial intelligence in inclusive education’, Lingvospektr, 9(1), 350-361. https://doi.org/10.5281/zenodo.23134249 |
| BibTeX | @article{kadyrovamakhynysabenozhanovna2026,
title = {Methodology for improving students’ intellectual-communicative competence through artificial intelligence in inclusive education},
author = {Kadyrova, Makhynysa Benozhanovna},
journal = {Lingvospektr},
year = {2026},
volume = {9},
number = {1},
pages = {350-361},
doi = {10.5281/zenodo.23134249},
url = {https://doi.org/10.5281/zenodo.23134249}
} |
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