Tyutorlarning innovatsion faoliyatini tashkil etishda sun’iy intellektga asoslangan texnologiyalardan foydalanishning ahamiyati
DOI:
https://doi.org/10.5281/zenodo.20686475Ключевые слова:
innovatsion faoliyat, tyutorlik platformalari, interfeyslar, sun’iy intellekt, ta’lim texnologiyalari, metodlar, strategiyalarАннотация
Mazkur maqola orqali zamonaviy sharoitda talabalar bilan tyutorlik faoliyatini olib borish hamda ushbu
sohaga bugungi kunda ma’lum va mashhur sun’iy intellektga asoslangan ta’lim texnologiyalarini joriy etish yo‘llari,
qolaversa, xorij tajribasi tahlilini o‘rganish asosida tyutorlarning innovatsion faoliyatini yanada takomillashtirish borasida
ma’lumot va tushunchalarga ega bo‘lish mumkin. Ushbu maqsadlarga erishishda quyida berilgan AQSHdagi “U.S. News
and World Report” tomonidan eng yaxshi global universitetlar orasida uchinchi o‘ringa ega Stanford universitetida olib
borilgan muloqot interfeyslari orqali smart tyutorlik faoliyatini tashkil etish, sun’iy intellektning tyutorlik jarayonida tutgan
o‘rni va ahamiyati, kamchiliklari va shu kabi masalalar to‘g‘risidagi tadqiqot ishi tahlili o‘z hissasini qo‘shadi.
Библиографические ссылки
1. Robert A Bjork. Memory and metamemory considerations in the the training of human beings. Metacognition: Knowing
About Knowing, 185, 1994
2. Kurt VanLehn. The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems.
Educational Psychologist, 46(4):197{221, 2011
3. Richard S. Sutton and Andrew G. Barto. Introduction to Reinforcement Learning. MIT Press, Cambridge, MA, USA,
1st edition, 1998
4. Michelene T.H. Chi and Ruth Wylie. The icap framework: Linking cognitive engagement to active learning outcomes.
Educational psychologist, 49(4):219 243, 2014
5. Reed Stevens, J Bransford, and A Stevens. The life center lifelong and lifewide learning diagram. Seattle, WA: LIFE
Center, 2005
6. W Lewis Johnson and James C Lester. Pedagogical agents: Back to the future. AI Magazine, 39(2), 2018
7. Daniel Jurafsky and James H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing,
Computational Linguistics, and Speech Recognition. Prentice Hall PTR, Upper Saddle River, NJ, USA, 1st
edition, 2000
8. Sherry Ruan, Liwei Jiang, Justin Xu, Bryce Joe-Kun Tham, Zhengneng Qiu, Yeshuang Zhu, Elizabeth L. Murnane,
Emma Brunskill, and James A. Landay. QuizBot: A dialogue-based adaptive learning system for factual knowledge.
In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI ’19, pages 357:1{357:13,
New York, NY, USA, 2019. ACM.
Загрузки
Опубликован
Выпуск
Раздел
Лицензия
Copyright (c) 2026 MAKTABGACHA VA MAKTAB TA’LIMI JURNALI
Это произведение доступно по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.
