TA'LIM JARAYONIDA SUN'IY INTELLEKTGA ASOSLANGAN MOBIL ILOVALARNI YARATISH VA ULARNING SAMARADORLIGINI TAHLIL QILISH
Keywords:
Kalit so'zlar: sun'iy intellekt, mobil ilovalar, ta'lim texnologiyasi, shaxsiylashtrilgan ta'lim, avtomatik baholash, moslashtirilgan ta'lim tizimlariAbstract
Ushbu maqolada sun'iy intellekt asosida ishlab chiqilgan mobil ta'lim ilovalari, ularning ta'lim jarayoniga ta'siri, samaradorlik darajasi va foydalanuvchilar tajribasi chuqur tahlil qilinadi. Tadqiqotda AI texnologiyasining individual o'rganish, avtomatik baholash va moslashtirilgan topshiriqlar taqdim etish imkoniyatlari o'rganiladi. Maxsus ishlab chiqilgan AI-mobil ilovaning tajribaviy sinov natijalari asosida ta'lim jarayonida sun'iy intellekt integratsiyasi bo'yicha muhim xulosalar keltirilgan.
References
Anderson, C. (2020). Artificial Intelligence in Education: Promises and Implications. Springer International Publishing.
Nguyen, A., Chen, L., & Park, S. (2022). AI-based Personalized Learning in Mobile Environments. IEEE Access, 10, 11234-11247. https://doi.org/10.1109/ACCESS.2022.3162847
Alimov, U. (2023). Mobil ilovalar asosida ta'lim resurslarini yaratish. Toshkent: Fan nashri.
Chen, X., & Williams, R. (2021). Machine Learning Applications in Educational Assessment. Journal of Educational Technology & Society, 24(3), 167-180.
Google ML Kit Documentation. (2023). https://developers.google.com/ml-kit dan olindi
TensorFlow Lite Guide. (2023). https://tensorflow.org/lite dan olindi
OpenAI API Documentation. (2023). https://platform.openai.com/docs dan olindi
UNESCO. (2021). AI and Education: Guidance for Policy-makers. UNESCO Publishing.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 1-27.
