IMPROVING THE METHODOLOGY FOR TEACHING THE METROLOGICAL FOUNDATIONS OF QUALITY CONTROL USING ARTIFICIAL INTELLIGENCE
Keywords:
metrology education, quality control, artificial intelligence, laboratory assignment, measurement uncertainty, source verification, independent assessment, textile engineering.Abstract
This article develops step-by-step tasks, source verification procedures, and
assessment criteria for teaching the metrological foundations of quality control with the
use of artificial intelligence. Based on a secondary analysis of sliver processing results,
distinctions are made between calculations, measurement uncertainty, and professional
conclusions. The proposed methodology provides for the separate assessment of students’
work completed with assistance and their independently acquired knowledge.
References
1. JCGM. Guide to the Expression of Uncertainty in Measurement — Part 1: Introduction. – JCGM GUM-1:2023. –
2023. – B. 1–2. – Manba
2. Van de Pol J., Volman M., Beishuizen J. Scaffolding in Teacher–Student Interaction: A Decade of Research //
Educational Psychology Review. – 2010. – Vol. 22. – P. 271–296. – DOI: 10.1007/s10648-010-9127-6
3. Hattie J., Timperley H. The Power of Feedback // Review of Educational Research. – 2007. – Vol. 77, No. 1. – P.
81–112. – DOI: 10.3102/003465430298487
4. Boltayeva Z. Z. Metrologiya va standartlashtirish fanini kollaborativ o‘qitish asosida talabalarni tadqiqotchilik
faoliyatiga yo‘naltirish metodikasini takomillashtirish : pedagogika fanlari bo‘yicha falsafa doktori (PhD) dissertatsiyasi
avtoreferati. – Buxoro, 2025. – B. 29–30. – Manba
5. Kestin G., Miller K., Klales A., Milbourne T., Ponti G. AI Tutoring Outperforms In-Class Active Learning: An RCT
Introducing a Novel Research-Based Design in an Authentic Educational Setting // Scientific Reports. – 2025. – Vol. 15. –
Article 17458. – P. 1–10. – DOI: 10.1038/s41598-025-97652-6
6. Bastani H., Bastani O., Sungu A., Ge H., Kabakcı Ö., Mariman R. Generative AI Without Guardrails Can Harm
Learning: Evidence from High School Mathematics // Proceedings of the National Academy of Sciences. – 2025. – Article
e2422633122. – DOI: 10.1073/pnas.2422633122
7. Maxammetov B. S. Tolalarni yigirishga tayyorlashda texnologik omillarni ip sifatiga tasiri : magistrlik dissertatsiyasi. – Namangan: Namangan davlat texnika universiteti, 2026. – 112 b. – B. 73–74.
8. JCGM. Evaluation of Measurement Data — Guide to the Expression of Uncertainty in Measurement. – JCGM 100:2008. – 2008. – B. 18–19. – Manba
9. Miao F., Holmes W. Guidance for Generative AI in Education and Research. – Paris: UNESCO, 2023. – B. 22, 24. – Manba
