Description:
[1] On Higher Education, 2014. URL: https://zakon.rada.gov.ua/laws/show/1556-18?lang=en#
Text.
[2] K. Vlasenko, O. Chumak, I. Sitak, I. Lovianova, O. Kondratyeva, Training of mathematical
disciplines teachers for higher educational institutions as a contemporary problem, Universal Journal of Educational Research 7 (2019) 1892–1900. doi:10.13189/ujer.2019.
070907.
[3] M. Shyshkina, The problems of personnel training for STEM education in the modern
innovative learning and research environment, CEUR Workshop Proceedings 2257 (2018)
61–65.
[4] I. Kholoshyn, O. Bondarenko, O. Hanchuk, E. Shmeltser, Cloud ArcGIS Online as an
innovative tool for developing geoinformation competence with future geography teachers,
CEUR Workshop Proceedings 2433 (2019) 403–412.
[5] L. Bilousova, L. Gryzun, J. Rakusa, E. Shmeltser, Informatics teacher’s training for design
of innovative learning aids, CEUR Workshop Proceedings 2643 (2020) 563–577.
[6] R. Tarasenko, S. Amelina, A unification of the study of terminological resource management
in the automated translation systems as an innovative element of technological training
of translators, CEUR Workshop Proceedings 2732 (2020) 1012–1027.
[7] T. Shabelnyk, O. Aliokhin, O. Diachenko, Educational and professional program 124
”System Analysis”, 2020. URL: http://mdu.in.ua/Ucheb/OPP/mag-2020-2021/op_sa_mag_
2020.pdf.
[8] P. Saukh, Innovations in higher education: problems, experience, prospects, 1st. ed.,
Zhytomyr Ivan Franko State University, 2011, p. 444.
[9] Y. Bystrova, Innovative teaching methods in higher education in Ukraine, Law and
innovation society (2015) 27–33.
[10] N. Kravchenko, H. Alieksieieva, L.Horbatiuk, D. Venetskyi, Development of software
for developing information systems design skills considering issues for visually impaired
people inclusion, CEUR Workshop Proceeding 2740 (2020) p. 443–450. URL: http://ceur-ws.
org/Vol-2740/20200443.pdf.
[11] K. Supruniuk, V. Andrunyk, L. Chyrun, Ar interface for teaching students with special
needs: Computational linguistics and intelligent systems, CEUR Workshop Proceedings
2604 (2020) 1295–1308. URL: http://ceur-ws.org/Vol-2604/paper82.pdf.
[12] S. O. Semerikov, I. O. Teplytskyi, V. N. Soloviev, V. A. Hamaniuk, N. S. Ponomareva, O. H.
Kolgatin, L. S. Kolgatina, T. V. Byelyavtseva, S. M. Amelina, R. O. Tarasenko, Methodic
quest: Reinventing the system, Journal of Physics: Conference Series 1840 (2021) 012036.
URL: https://doi.org/10.1088/1742-6596/1840/1/012036. doi:10.1088/1742-6596/1840/
1/012036.
[13] V. Shevchenko, Modern methods and technologies of higher education in ukraine, Humanities studies: education and training (2016) 389–399.
[14] O. Abdalova, O. Ysakova, Use of e-learning technologies in the learning process, Distance
and virtual learning (2014) 50–55.
[15] I. Tsidylo, S. Samborskiy, S.-I. Mazur, M. Zamoroz, Designing a chatbot for learning a
subject in a telegram messenger, CEUR Workshop Proceedings 2732 (2020) 1329–1340.
[16] I. Ushakova, Approaches to creating intelligent chatbots, Information processing systems
2 (2019) 76–83. doi:10.30748/soi.2019.157.10.
[17] C. Kuang, Why chat may be king of the new mobile landscape, 2016. URL: https://www.
fastcompany.com/3064055/why-chat-may-be-king-of-the-new-mobile-landscape.
[18] S. Khalaf, On their tenth anniversary, mobile apps start eating their
own, 2017. URL: https://flurrymobile.tumblr.com/post/155761509355/
on-their-tenth-anniversary-mobile-apps-start.
[19] K. Osadcha, A. Priadko, V. Kruhlyk, V. Rakovych, Development of a chatbot for informing
students of the schedule, CEUR Workshop Proceeding 2546 (2020) 128–137. URL: http:
//ceur-ws.org/Vol-2546/paper08.pdf.
[20] E. Michiels, Modelling chatbots with a cognitive system allows for a differentiating user
experience, CEUR Workshop Proceeding 2027 (2017). URL: http://ceur-ws.org/Vol-2027/
paper24.pdf.
[21] Y. Modlo, S. Semerikov, Xcos on Web as a promising learning tool for Bachelor’s of
Electromechanics modeling of technical objects, CEUR Workshop Proceedings 2168 (2017)
34–41. URL: http://ceur-ws.org/Vol-2027/paper24.pdf.
[22] I. Shubin, V. Skovorodnikova, A. Kozyriev, M. Pitiukova, Mining methods for adaptation
metrics in e-learning computational linguistics and intelligent systems, CEUR Workshop
Proceedings 2362 (2019) 288–300. URL: http://ceur-ws.org/Vol-2362/paper26.pdf.
[23] S. Semerikov, I. Teplytskyi, Y. Yechkalo, A. Kiv, Computer simulation of neural networks
using spreadsheets: The dawn of the age of Camelot, CEUR Workshop Proceedings 2257
(2018) 122–147.
[24] S. Semerikov, I. Teplytskyi, Y. Yechkalo, O. Markova, V. Soloviev, A. Kiv, Computer
simulation of neural networks using spreadsheets: Dr. Anderson, welcome back, CEUR
Workshop Proceedings 2393 (2019) 833–848.
[25] A. Tarasenko, Y. Yakimov, V. Soloviev, Convolutional neural networks for image classification, CEUR Workshop Proceedings 2546 (2019) 101–114.
[26] S. Semerikov, H. Kucherova, V. Los, D. Ocheretin, Neural network analytics and forecasting
the country’s business climate in conditions of the coronavirus disease (COVID-19), CEUR
Workshop Proceedings 2845 (2021) 22–32. URL: http://ceur-ws.org/Vol-2845/Paper_3.pdf.
[27] A. Kiv, V. Soloviev, S. Semerikov, H. Danylchuk, L. Kibalnyk, A. Matviychuk, Experimental
economics and machine learning for prediction of emergent economy dynamics, CEUR
Workshop Proceedings 2422 (2019) 1–4.
[28] A. Kiv, P. Hryhoruk, I. Khvostina, V. Solovieva, V. Soloviev, S. Semerikov, Machine learning
of emerging markets in pandemic times, CEUR Workshop Proceedings 2713 (2020) 1–20.
[29] S. Zelinska, Machine learning: Technologies and potential application at mining companies,
E3S Web of Conferences 166 (2020) 03007. doi:10.1051/e3sconf/202016603007.
[30] P. V. Zahorodko, S. O. Semerikov, V. N. Soloviev, A. M. Striuk, M. I. Striuk, H. M. Shalatska, Comparisons of performance between quantum-enhanced and classical machine learning algorithms on the IBM quantum experience, Journal of Physics: Conference Series 1840 (2021) 012021. URL: https://doi.org/10.1088/1742-6596/1840/1/012021.
doi:10.1088/1742-6596/1840/1/012021.
[31] P. V. Zahorodko, Y. O. Modlo, O. O. Kalinichenko, T. V. Selivanova, S. O. Semerikov,
Quantum enhanced machine learning: An overview, CEUR Workshop Proceedings 2832
(2020) 94–103. URL: http://ceur-ws.org/Vol-2832/paper13.pdf.
[32] T. B. Bykova, M. V. Ivashchenko, D. A. Kassim, V. I. Kovalchuk, Blended learning in the
context of digitalization, CEUR Workshop Proceedings (2020, in press).
[33] O. V. Strutynska, G. M. Torbin, M. A. Umryk, R. M. Vernydub, Digitalization of the educational process for the training of the pre-service teachers, CEUR Workshop Proceedings
(2020, in press).
[34] K. Melnyk, Learning chatbots: 7 ideas for using them, 2017. URL: https://learnlifelong.net/
chat-boty-u-navchanni-7-idej-dlya-yih-vykory.
[35] M. Zubok, Bezpeka bankivskoi diialnosti (Banking security), Vadym Hetman Kyiv National
Economic University, Kyiv, 2003, p. 156.
[36] Bleeping Computer, Bleeping Computer: Kotlin will be the main language for Android
programming, 2017. URL: https://echo.lviv.ua/dev/4194.
[37] M. Mustakimov, Studying Retrofit, 2016. URL: https://habr.com/ru/post/314028.