ISSN 3060-4745 Open Access · Peer Reviewed
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Keywords

biologiya ta’limi
sun’iy intellekt
LLM-modellar,
ChatGPT,
Claude,

How to Cite

BIOLOGIYA TA’LIMIDA LLM-MODELLAR (CHATGPT, CLAUDE)NI QO‘LLASHNING DIDAKTIK TAMOYILLARI. (2026). ACUMEN: INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH, 3(6), 494-498. https://doi.org/10.66301/3qgg8v35

Abstract

Mazkur maqolada biologiya ta’lim jarayonida yirik til modellari (Large Language Models-LLM), xususan ChatGPT va Claude sun’iy intellekt tizimlaridan foydalanishning didaktik asoslari tahlil qilingan. LLM-modellarning biologiya fanini o‘qitishdagi imkoniyatlari, afzalliklari va cheklovlari yoritilib, ularni ta’lim jarayoniga samarali integratsiya qilishning asosiy didaktik tamoyillari belgilangan. Tadqiqot natijalari biologiya o‘qituvchilari va ta’lim tashkilotchilariga sun’iy intellekt texnologiyalaridan oqilona foydalanish bo‘yicha metodik tavsiyalar ishlab chiqish imkonini beradi

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References

1. UNESCO. Guidance for Generative AI in Education and Research. Paris: UNESCO Publishing, 2023.

2. Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign, 2019.

3. Luckin R. Machine Learning and Human Intelligence: The Future of Education for the 21st Century. London: UCL Institute of Education Press, 2018.

4. Kasneci E., Sessler K., Küchemann S., Bannert M., Dementieva D., Fischer F. et al. ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education // Learning and Individual Differences. – 2023. – Vol. 103. – Article 102274.

5. Cotton D.R.E., Cotton P.A., Shipway J.R. Chatting and Cheating? Ensuring Academic Integrity in the Era of ChatGPT // Innovations in Education and Teaching International. – 2024. – Vol. 61(2). – P. 228–239.

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