Forming a data model based on academic and soft-skills indicators

Mallayev, Oybek, Aliyev, Jaloliddin, Fozilov, Otabek, Gazatov , Jamoliddin

Al-Farg'oniy avlodlari · 2026-yil

Annotatsiya

In this research, machine learning algorithms including Logistic Regression, Random Forest, XGBoost, and Artificial Neural Networks were evaluated and compared. Experimental results demonstrated that the integrated model achieved higher accuracy and effectiveness compared to traditional systems based solely on academic assessment. In particular, the inclusion of soft skills parameters significantly improved the prediction accuracy of students’ future educational pathways. The proposed model can be effectively utilized in the development of intelligent educational platforms, educational analytics systems, and AI-based recommendation systems in the future.

Maqola ma’lumotlari
MualliflarMallayev, Oybek, Aliyev, Jaloliddin, Fozilov, Otabek, Gazatov , Jamoliddin
JurnalAl-Farg'oniy avlodlari
NashriyotТАТУ Фарғона филиали
ISSN2181-4252
Nashr sanasi2026-05-30
Son2
Betlar247-258
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

Machine learning, educational analytics, academic performance, soft skills, data modeling, neural networks, predictive analytics, student profiling, artificial intelligence, educational recommendation systems, long-term educational data, hybrid learning models, машинное обучение, educational analytics, академическая успеваемость, soft skills, моделирование данных, нейронные сети, predictive analytics, профилирование обучающихся, искусственный интеллект, рекомендательные образовательные системы, долгосрочные образовательные данные, гибридные модели обучения, Machine learning, educational analytics, academic performance, soft skills, data modeling, neural networks, predictive analytics, student profiling, artificial intelligence, educational recommendation systems, long-term educational data, hybrid learning models

Ilmiy soha

Texnika

Iqtibos keltirish

APAMallayev, Oybek, Aliyev, Jaloliddin, Fozilov, Otabek, & Gazatov , Jamoliddin (2026). FORMING A DATA MODEL BASED ON ACADEMIC AND SOFT-SKILLS INDICATORS. Al-Farg'oniy avlodlari, (2), 247-258. https://al-fargoniy.uz/index.php/journal/article/view/1173
GOST (OAK)Mallayev, Oybek va b. FORMING A DATA MODEL BASED ON ACADEMIC AND SOFT-SKILLS INDICATORS // Al-Farg'oniy avlodlari. – 2026. – № 2. – P. 247-258.
MLAMallayev, Oybek, Aliyev, Jaloliddin, Fozilov, Otabek, and Gazatov , Jamoliddin. “FORMING A DATA MODEL BASED ON ACADEMIC AND SOFT-SKILLS INDICATORS.” Al-Farg'oniy avlodlari, (2), 247-258, 2026. https://al-fargoniy.uz/index.php/journal/article/view/1173
ChicagoMallayev, Oybek, Aliyev, Jaloliddin, Fozilov, Otabek, and Gazatov , Jamoliddin. “FORMING A DATA MODEL BASED ON ACADEMIC AND SOFT-SKILLS INDICATORS.” Al-Farg'oniy avlodlari, (2), 247-258 (2026). https://al-fargoniy.uz/index.php/journal/article/view/1173
HarvardMallayev, Oybek, Aliyev, Jaloliddin, Fozilov, Otabek, and Gazatov , Jamoliddin (2026) ‘FORMING A DATA MODEL BASED ON ACADEMIC AND SOFT-SKILLS INDICATORS’, Al-Farg'oniy avlodlari, (2), 247-258. https://al-fargoniy.uz/index.php/journal/article/view/1173
BibTeX
@article{mallayevoybek2026,
  title = {FORMING A DATA MODEL BASED ON ACADEMIC AND SOFT-SKILLS INDICATORS},
  author = {Mallayev, Oybek and Aliyev, Jaloliddin and Fozilov, Otabek and Gazatov , Jamoliddin},
  journal = {Al-Farg'oniy avlodlari},
  year = {2026},
  number = {2},
  pages = {247-258},
  url = {https://al-fargoniy.uz/index.php/journal/article/view/1173}
}

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