Optimizing educational processes with generative AI: innovative instructional design and automated assessment tools

Mukhamadiyev A., Sh.A.Toirov

Management and Economics Scientific Research Journal · 2026-yil

Annotatsiya

The rapid emergence of generative artificial intelligence (GenAI) has introduced a structural shift in how educational processes are designed, delivered, and evaluated. This paper examines the role of GenAI in optimizing modern education through three interrelated dimensions: innovative instructional design, automated assessment, and personalized learning. Adopting a structured review and comparative analysis methodology, the study synthesizes recent literature (2021-2026) and documented institutional case studies to identify the mechanisms by which large language models and related technologies enhance teaching efficiency, scalability, and learner engagement. The analysis indicates that GenAI-enabled systems can substantially reduce instructional workload, accelerate content authoring, and provide continuous formative feedback, while raising critical concerns regarding academic integrity, algorithmic bias, data privacy, and over-reliance.

Maqola ma’lumotlari
MualliflarMukhamadiyev A., Sh.A.Toirov
JurnalManagement and Economics Scientific Research Journal
NashriyotТошкент менежмент ва иқтисодиёт институти
Nashr sanasi2026-05-21
Jild3
Son3
Betlar290-300
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-10-11

Kalit so‘zlar

generative artificial intelligence, instructional design, automated assessment, personalized learning, intelligent tutoring systems, educational technology, large language models, learning analytics.

Ilmiy soha

Iqtibos keltirish

APAMukhamadiyev A., & Sh.A.Toirov (2026). OPTIMIZING EDUCATIONAL PROCESSES WITH GENERATIVE AI: INNOVATIVE INSTRUCTIONAL DESIGN AND AUTOMATED ASSESSMENT TOOLS. Management and Economics Scientific Research Journal, 3(3), 290-300. https://journals.timeedu.uz/index.php/mesr/article/view/147
GOST (OAK)Mukhamadiyev A., Sh.A.Toirov OPTIMIZING EDUCATIONAL PROCESSES WITH GENERATIVE AI: INNOVATIVE INSTRUCTIONAL DESIGN AND AUTOMATED ASSESSMENT TOOLS // Management and Economics Scientific Research Journal. – 2026. – T. 3, № 3. – P. 290-300.
MLAMukhamadiyev A., and Sh.A.Toirov. “OPTIMIZING EDUCATIONAL PROCESSES WITH GENERATIVE AI: INNOVATIVE INSTRUCTIONAL DESIGN AND AUTOMATED ASSESSMENT TOOLS.” Management and Economics Scientific Research Journal, 3(3), 290-300, 2026. https://journals.timeedu.uz/index.php/mesr/article/view/147
ChicagoMukhamadiyev A., and Sh.A.Toirov. “OPTIMIZING EDUCATIONAL PROCESSES WITH GENERATIVE AI: INNOVATIVE INSTRUCTIONAL DESIGN AND AUTOMATED ASSESSMENT TOOLS.” Management and Economics Scientific Research Journal, 3(3), 290-300 (2026). https://journals.timeedu.uz/index.php/mesr/article/view/147
HarvardMukhamadiyev A., and Sh.A.Toirov (2026) ‘OPTIMIZING EDUCATIONAL PROCESSES WITH GENERATIVE AI: INNOVATIVE INSTRUCTIONAL DESIGN AND AUTOMATED ASSESSMENT TOOLS’, Management and Economics Scientific Research Journal, 3(3), 290-300. https://journals.timeedu.uz/index.php/mesr/article/view/147
BibTeX
@article{mukhamadiyeva2026,
  title = {OPTIMIZING EDUCATIONAL PROCESSES WITH GENERATIVE AI: INNOVATIVE INSTRUCTIONAL DESIGN AND AUTOMATED ASSESSMENT TOOLS},
  author = {Mukhamadiyev A. and Sh.A.Toirov},
  journal = {Management and Economics Scientific Research Journal},
  year = {2026},
  volume = {3},
  number = {3},
  pages = {290-300},
  url = {https://journals.timeedu.uz/index.php/mesr/article/view/147}
}

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