Methodology for improving students’ intellectual-communicative competence through artificial intelligence in inclusive education

Kadyrova, Makhynysa Benozhanovna

Lingvospektr · 2026-yil

Annotatsiya

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.

Maqola ma’lumotlari
MualliflarKadyrova, Makhynysa Benozhanovna
JurnalLingvospektr
NashriyotЎзбекистон давлат жаҳон тиллари университети, “Modern Scientific Research” MChJ
ISSN3060-4958
Nashr sanasi2026-10-04
Jild9
Son1
Betlar350-361
TilIngliz
Ilmiy sohaPedagogika
DOI10.5281/zenodo.23134249
Indeksga qo‘shilgan2026-10-04

Kalit so‘zlar

Artificial intelligence, intellectual-communicative competence, inclusive education, foreign language education, digital pedagogy, reflection

Ilmiy soha

Iqtibos keltirish

APAKadyrova, 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.
MLAKadyrova, 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
ChicagoKadyrova, 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
HarvardKadyrova, 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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