A multilayer model for assessing english speaking competence among students in grades

Mo‘minxo‘jayev, Abrorxo‘ja Muksumxodjayevich

Мактабгача ва мактаб таълими · 2026-yil

Annotatsiya

This article presents the theoretical and methodological rationale for a human-centred, multilayer model for the formative assessment of English speaking competence among students in Grades 7–9 at specialised schools. The study aims to integrate CEFR descriptors, expert teacher judgement, AI-assisted speech analysis, peer feedback, and reflective self-assessment into a coherent system of evidence. The methods comprise systematic analysis, functional modelling, comparative analysis of criteria, and didactic design. The resulting model consists of a four-layer assessment cycle organised around purpose, task, evidence, interpretation, and subsequent action; it also specifies role boundaries, a speaking-performance rubric, and a verification protocol. Artificial intelligence is treated not as the final assessor but as a support tool that provides provisional analytical signals relating to pronunciation, fluency, and selected language features. Final pedagogical judgement remains with the teacher. The model’s conceptual contribution lies in triangulating evidence from different sources, reducing technology-related construct-irrelevant variance, and linking assessment outcomes to subsequent learning actions. Because a complete experimental dataset is not yet available, the article makes no causal claims regarding effectiveness. Instead, it specifies measurable indicators and testable hypotheses for subsequent empirical validation in specialised secondary-school settings in Uzbekistan.

Maqola ma’lumotlari
MualliflarMo‘minxo‘jayev, Abrorxo‘ja Muksumxodjayevich
JurnalМактабгача ва мактаб таълими
NashriyotТошкент давлат педагогика университети
ISSN3060-4613, 3060-4613
Nashr sanasi2026-09-02
Jild4
Son9
Betlar222-228
TilIngliz
Ilmiy sohaPedagogika
DOI10.5281/zenodo.22917201
Indeksga qo‘shilgan2026-09-24

DOI: 10.5281/zenodo.22917201 · Maqolaning asl sahifasi

Kalit so‘zlar

English speaking competence, formative assessment, CEFR, artificial intelligence, human-centred approach, reflective self-assessment, verification, assessment rubric, англоязычная устная компетенция, формирующее оценивание, CEFR, искусственный интеллект, человекоцентричный подход, рефлексивная самооценка, верификация, оценочная рубрика, ingliz tilida gapirish kompetensiyasi, formativ baholash, CEFR, sun’iy intellekt, inson markazli yondashuv, reflektiv o‘zini o‘zi baholash, verifikatsiya, baholash rubrikasi

Ilmiy soha

Pedagogika

Iqtibos keltirish

APAMo‘minxo‘jayev, Abrorxo‘ja Muksumxodjayevich (2026). A MULTILAYER MODEL FOR ASSESSING ENGLISH SPEAKING COMPETENCE AMONG STUDENTS IN GRADES. Мактабгача ва мактаб таълими, 4(9), 222-228. https://doi.org/10.5281/zenodo.22917201
GOST (OAK)Mo‘minxo‘jayev, Abrorxo‘ja Muksumxodjayevich A MULTILAYER MODEL FOR ASSESSING ENGLISH SPEAKING COMPETENCE AMONG STUDENTS IN GRADES // Мактабгача ва мактаб таълими. – 2026. – T. 4, № 9. – P. 222-228. – DOI: 10.5281/zenodo.22917201.
MLAMo‘minxo‘jayev, Abrorxo‘ja Muksumxodjayevich. “A MULTILAYER MODEL FOR ASSESSING ENGLISH SPEAKING COMPETENCE AMONG STUDENTS IN GRADES.” Мактабгача ва мактаб таълими, 4(9), 222-228, 2026. https://doi.org/10.5281/zenodo.22917201
ChicagoMo‘minxo‘jayev, Abrorxo‘ja Muksumxodjayevich. “A MULTILAYER MODEL FOR ASSESSING ENGLISH SPEAKING COMPETENCE AMONG STUDENTS IN GRADES.” Мактабгача ва мактаб таълими, 4(9), 222-228 (2026). https://doi.org/10.5281/zenodo.22917201
HarvardMo‘minxo‘jayev, Abrorxo‘ja Muksumxodjayevich (2026) ‘A MULTILAYER MODEL FOR ASSESSING ENGLISH SPEAKING COMPETENCE AMONG STUDENTS IN GRADES’, Мактабгача ва мактаб таълими, 4(9), 222-228. https://doi.org/10.5281/zenodo.22917201
BibTeX
@article{mominxojayevabrorxojamuksumxodjayevich2026,
  title = {A MULTILAYER MODEL FOR ASSESSING ENGLISH SPEAKING COMPETENCE AMONG STUDENTS IN GRADES},
  author = {Mo‘minxo‘jayev, Abrorxo‘ja Muksumxodjayevich},
  journal = {Мактабгача ва мактаб таълими},
  year = {2026},
  volume = {4},
  number = {9},
  pages = {222-228},
  doi = {10.5281/zenodo.22917201},
  url = {https://doi.org/10.5281/zenodo.22917201}
}

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