Foydalanilgan adabiyotlar - Muhammad al-Xorazmiy nomidagi tatu farg‘ona filiali "Al-Farg‘oniy avlodlari"

Foydalanilgan adabiyotlar
1.
Halaweh, M. (2023). ChatGPT in education:
Strategies for responsible implementation.
Contemporary Educational Technology, 15(2),
ep421.
https://doi.org/10.30935/cedtech/13036
2.
Mena-Guacas, A. F., Urueña Rodríguez, J. A.,
Santana Trujillo, D. M., Gómez-Galán, J., &
López-Meneses, E. (2023). Collaborative
learning and skill development for educational
growth of artificial intelligence: A systematic
review.
Contemporary
Educational
Technology,
15(3),
ep428.
https://doi.org/10.30935/cedtech/13123
3.
Papapicco, C. (2020). Google mini: Italian
example of artificial pro-sociality. Online
Journal
of
Communication and Media
Technologies,
10(3),
e202015.
https://doi.org/10.29333/ojcmt/7995
4.
Adiguzel, T., Kaya, M. H., & Cansu, F. K.
(2023). Revolutionizing education with AI:
Exploring the transformative potential of
ChatGPT.
Contemporary
Educational
Technology,
15(3),
ep429.
https://doi.org/10.30935/cedtech/13152
5.
Lin, P. Y., Chai, C. S., Jong, M. S. Y., Dai, Y.,
Guo, Y., & Qin, J. (2021). Modelling the
structural relationship among primary students’
motivation to learn artificial intelligence.
Computers
and
Education:
Artificial
Intelligence,
2,
100006.
https://doi.org/
10.1016/j.caeai.2020.100006
6.
Xia, Q., Chiu, T. K. F, Lee, M., Temitayo I.,
Dai, Y., & Chai, C. S. (2022). A self-
determination theory design approach for
inclusive and diverse artificial intelligence (AI)
K-12 education. Computers & Education, 189,
104582.
https://doi.org/10.1016/j.
compedu.2022.104582
7.
Huang, A. Y., Lu, O. H., & Yang, S. J. (2023a).
Effects
of
artificial
intelligence-enabled
personalized recommendations on learners’
learning
engagement,
motivation,
and
outcomes in a flipped classroom. Computers &
Education,
194,
104684.
https://doi.org/10.1016/j.compedu.2022.10468
4
8.
Nazari, N., Shabbir, M. S., & Setiawan, R.
(2021). Application of artificial intelligence
powered digital writing assistant in higher
education:
Randomized
controlled
trial.
Heliyon,
7(5),
e07014.
https://doi.org/10.1016/j.heliyon.2021.e07014
9.
Hou, J., Li, Z., & Liu, G. (2022). Macro
education approach to improve learning interest
under the background of artificial intelligence.
Wireless
Communications
and
Mobile
Computing,
2022,
4295887.
https://doi.org/10.1155/2022/4295887
10.
Karsenti, T. (2019). Artificial intelligence in
education: The urgent need to prepare teachers
fortomorrow’s
schools.
Formation
et
Profession [Education and Profession], 27(1),
112-116.
https://doi.org/10.
18162/fp.2019.a166
11.
Hawes, D., & Arya, A. (2023). Technology
solutions to reduce anxiety and increase
cognitive availability in students. IEEE
Transactions on Learning Technologies, 16(2),
278-291.
https://doi.org/10.
1109/TLT.2023.3239985
12.
Kumar, N. S. (2019). Implementation of
artificial intelligence in imparting education
and evaluating student performance. Journal of
Artificial
Intelligence,
1(01),
1-9.
https://doi.org/10.36548/jaicn.2019.1. 001
13.
Luo, Y., Han, X., & Zhang, C. (2022).
Prediction of learning outcomes with a machine
297
Muhammad al-Xorazmiy nomidagi TATU
Farg‘ona filiali “Al-Farg‘oniy avlodlari”
elektron ilmiy jurnali ISSN 2181-4252
Tom: 1 | Son: 4 | 2023-yil
"Descendants of Al-Farghani" electronic scientific
journal of Fergana branch of TATU named after
Muhammad al-Khorazmi. ISSN 2181-4252
Vol: 1 | Iss: 4 | 2023 year
Электронный научный журнал "Потомки Аль-
Фаргани" Ферганского филиала ТАТУ имени
Мухаммада аль-Хоразми ISSN 2181-4252
Том: 1 | Выпуск: 4 | 2023 год
https://al-fargoniy.uz/
learning algorithm based on online learning
behavior data in blended courses. Asia Pacific
Education
Review.
https://doi.org/10.1007/s12564-022-09749-6
14.
Khan, I., Ahmad, A. R., Jabeur, N., & Mahdi,
M. N. (2021). An artificial intelligence
approach to monitor student performance and
devise preventive measures. Smart Learning
Environments,
8(1),
1-18.
https://doi.org/10.1186/s40561-021- 00161-y
15.
Owan, V. J., Abang, K. B., Idika, D. O., Etta,
E. O., & Bassey, B. A. (2023). Exploring the
potential of artificial intelligence tools in
educational measurement and assessment.
Eurasia Journal of Mathematics, Science and
Technology
Education,
19(8),
em2307.
https://doi.org/10.29333/ejmste/13428
16.
O.Babomuradov, B Otaxonova, NS Mamatov,
LB Boboev. Text documents classification in
Uzbek language. International journal of recent
technology and engineering 8 (2S11), 3787-
3789
17.
N. A. Niyozmatova, N. S. Mamatov, B. I.
Otaxonova, A. N. Samijonov and K. K.
Erejepov, "Classification Based On Decision
Trees
and
Neural
Networks,"
2021
International Conference on Information
Science and Communications Technologies
(ICISCT), Tashkent, Uzbekistan, 2021, pp. 01-
04, doi: 10.1109/ICISCT52966.2021.9670345
18.
Mamatov, N. S., Niyozmatova, N. A., Jalelova,
M. M., Samijonov, A. N., & Tojiboyeva, S. X.
(2023). Methods for improving contrast of
agricultural
images.
In E3S
Web
of
Conferences (Vol. 401, p. 04020). EDP
Sciences.
19.
Mamatov, N., Pulatov, G., & Jalelova, M.
(2023). Тасвир контрастини ошириш усули
ва контраст баҳолаш мезон оптимал
жуфтлиги. Digital transformation and artificial
intelligence, 1(2), 158–167. Retrieved from
https://dtai.tsue.uz/index.php/dtai/article/view/
v1i225
20.
Wiedecke, Bernd & Mamatov, Narzillo &
Payazov, Mirabbos & Samijonov, Abdurashid.
(2019).
Acoustic
Signal
Analysis
and
Identification.
International
Journal
of
Innovative
Technology
and
Exploring
Engineering. 8. 2440-2442. 10.35940/ijitee.
J9522.0881019.
21.
Mamatov, N., Niyozmatova, N., Samijonov, A.
2021. Software for preprocessing voice signals.
International Journal of Applied Science and
Engineering,
18,
2020163.
https://doi.org/10.6703/IJASE.202103_18(1).0
06
22.
Narzillo, M., Abdurashid, S., Parakhat, N., &
Nilufar, N. (2019). Automatic speaker
identification by voice based on vector
quantization method. International Journal of
Innovative
Technology
and
Exploring
Engineering,
8(10),
2443–2445.
https://doi.org/10.35940/ijitee.J9523.0881019
23.
Mamatov, Narzillo & Samijonov, Abdurashid
& Nilufar, Niyozmatova. (2019). Karakalpak
Speech Recognition with CMU Sphinx.
International Journal of Innovative Technology
and Exploring Engineering. 8. 2446-2448.
10.35940/ijitee. J9524.0881019.
24.
Mamatov, Narzillo & Niyozmatova, N. &
Abdullaev, Sh & Samijonov, Abdurashid &
Erejepov, K. (2021). Speech Recognition
Based On Transformer Neural Networks. 1-5.
10.1109/ICISCT52966.2021.9670093.
25.
Mamatov, N., Dusanov, X., & Pulatov, G.
(2023). SHAXSNI OVOZI ASOSIDA TANIB
OLISH
USULLARI.
DIGITAL
TRANSFORMATION AND ARTIFICIAL
INTELLIGENCE, 1(2), 90–95. Retrieved from
https://dtai.tsue.uz/index.php/dtai/article/view/
v1i218
26.
Bassey, B. A., Ubi, I. O., Anagbogu, G. E., &
Owan, V. J. (2020). Permutation of UTME
multiple-choice test items on performance in
use of English and mathematics among
prospective higher education students. The
Journal of Social Sciences Research, 6(4), 483-
493.
https://doi.org/10.32861/jssr.64.483.493
27.
S. Ibrokhimov, K. L. Hui, A. Abdulhakim Al-
Absi, h. j. lee and M. Sain, "Multi-Factor
Authentication in Cyber Physical System: A
State of Art Survey," 2019 21st International
Conference on Advanced Communication
Technology (ICACT), PyeongChang, Korea
(South),
2019,
pp.
279-284,
doi:
10.23919/ICACT.2019.8701960.
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