ANORGANIK KIMYODA SUN’IY INTELLEKT TEXNOLOGIYALARIDAN FOYDALANISHGA ASOSLANGAN PEDAGOGIK TAJRIBA-SINOV ISHLARINING MATEMATIK-STATISTIK TAHLIL NATIJALARI
DOI:
https://doi.org/10.5281/zenodo.22659033Аннотация
Maqolada anorganik kimyoni sun’iy intellekt vositalari bilan integratsiyalashgan metodika asosida o‘qitish
bo‘yicha pedagogik tajriba-sinov natijalari tahlil qilindi. Kvazieksperimental tadqiqot 2024-2025-o‘quv yilida uch viloyatdagi
13 maktabning 83 sinf-guruhida 2473 nafar 8-9-sinf o‘quvchisini qamrab olgan. O‘zlashtirish 100 ballik kirish va chiqish
testlari orqali baholangan. Tajriba guruhida o‘rtacha o‘sish 2,162, nazorat guruhida 1,038 ballni tashkil etgan. Kirish testi
hisobga olingan ANCOVA modelida tuzatilgan farq 1,176 ballga teng bo‘lgan. Sinf darajasida klaster-mustahkam baholashda
95% ishonch oralig‘i [0,951; 1,401] ni tashkil etgan (p < 0,001). Chiqish testi bo‘yicha Hedges g = 0,344 bo‘lib,
amaliy ta’sir hajmi mo‘tadil baholangan. Natijalar SI integratsiya qilingan kompleks metodika foydasiga dalil bergan; SI
ning mustaqil ta’siri va sababiy bog‘lanish dizayn cheklovlari doirasida talqin qilingan.
Ключевые слова
anorganik kimyo, sun’iy intellekt, pedagogik tajriba-sinov, matematik-statistik tahlil, ANCOVA, klaster-mustahkam baholash, ta’sir hajmi, o‘zlashtirish.Библиографические ссылки
1. Miao F., Holmes W. Guidance for generative AI in education and research. Paris: UNESCO, 2023. https://unesdoc.
unesco.org/ark:/48223/pf0000386693
2. Labadze L., Grigolia M., Machaidze L. Role of AI chatbots in education: systematic literature review. International
Journal of Educational Technology in Higher Education. 2023;20:56. https://doi.org/10.1186/s41239-023-00426-1
3. Vickers A. J., Altman D. G. Analysing controlled trials with baseline and follow up measurements. BMJ.2001;323:1123-
1124. https://doi.org/10.1136/bmj.323.7321.1123
4. Lakens D. Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and
ANOVAs. Frontiers in Psychology. 2013;4:863. https://doi.org/10.3389/fpsyg.2013.00863
5. Cameron A. C., Miller D. L. A Practitioner’s Guide to Cluster-Robust Inference // Journal of Human Resources. - 2015.
- Vol. 50, № 2. - P. 317-372. - DOI: 10.3368/jhr.50.2.317.
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