dc.description |
1. Brusilovsky, P., Peylo, С.: Adaptive and Intelligent Web-based
Educational Systems. International Journal of Artificial Intelligence
13 (2–4), 159–172 (2003).
2. Bykov, V. Yu., Shyshkina, M. P.: The conceptual basis of
the university cloud-based learning and research environment
formation and development in view of the open science priorities.
Information Technologies and Learning Tools 68 (6), 1–19 (2018).
doi: 10.33407/itlt.v68i6.2609
3. Fedoruk, P. I. Adaptyvna systema dystantsiinoho navchannia ta
kontroliu znan na bazi intelektualnykh Internet-tekhnolohii (Adaptive
system of distance learning and knowledge control based on intellectual
Internet technologies). Prykarpatskyi natsionalnyi universytet imeni
Vasylia Stefanyka, Ivano-Frankivsk (2008).
4. Fedoruk, P. I.: Adaptatsiia protsesu navchannia v systemakh
dystantsiinoi osvity na osnovi otsinky shvydkosti spryiniattia ta
zasvoiennia znan studentamy (Adaptation of the process of education
in the distance learning systems on the base of the quick perception
and retention of knowledge by the students). Matematychni mashyny i
systemy 2, 96–106 (2006).
5. Fedoruk, P. I.: Metodolohiia orhanizatsii protsesu indyvidualizovanoho
navchannia iz vykorystanniam adaptyvnoi systemy dystantsiinoho
navchannia ta kontroliu znan EduPro (Methodology of organizing
process of individualized learning with using adaptive system of distance
education and knowledge control EduPro). Medychna informatyka ta
inzheneriia 2, 28–34 (2010).
6. Filiposka, S., Demchenko, Y., Karaliotas, T., de Vos, M.,
Regvart, D.:: Distributed cloud services based on programmable
agile networks. European Journal of Higher Education IT 2, 1–
16. http://www.eunis.org/download/TNC2016/08-paper-TNC2016-
2.pdf (2016). Accessed 21 Mar 2018.
7. Fomin, V. N., Fradkov, A. L., Yakubovich, V. A.: Adaptivnoe upravlenie
dinamicheskimi obektami (Adaptive Control of Dynamic Systems).
Nauka, Moscow (1981).
8. Johnson, L., Adams Becker, S., Cummins, M., Estrada, V., Freeman,
A., Hall, C.: NMC Horizon Report: 2016 Higher Education Edition.
The New Media Consortium, Austin (2016).
9. Kasyanova, E. V.: Adaptivnaia sistema podderzhki distantcionnogo
obucheniia programmirovaniiu (An adaptive system of support for
distant education in programming). In: Kasyanov, V. N. (ed.) Problems
of intellectualization and quality of informatics systems, pp. 85–112.
Insitut sistem informatiki imeni A. P. Ershova SO RAN, Novosibirsk
(2006).
10. Nakic, J., Granic, A., Glavinic, V.: Anatomy of Student Models
in Adaptive Learning Systems: A Systematic Literature Review of
Individual Differences from 2001 to 2013. Journal of Educational
Computing Research 51 (4), 459–489 (2015). doi: 10.2190/EC.51.4.e
11. Petrova, M. Ye., Mintii, M.vM., Semerikov, S. O., Volkova, N. P.:
Development of adaptive educational software on the topic of “Fractional
Numbers” for students in grade 5. In: Kiv, A. E., Semerikov, S. O.,
Soloviev, V. N., Striuk, A. M. (eds.) Proceedings of the 1st Student
Workshop on Computer Science & Software Engineering (CS&SE@SW
2018), Kryvyi Rih, Ukraine, November 30, 2018. CEUR Workshop
Proceedings 2292, 162–192. http://ceur-ws.org/Vol-2292/paper19.pdf
(2018). Accessed 15 Dec 2018.
12. Project “V4+ Academic Research Consortium integrating databases,
robotics and languages technologies” (2018–2019). Institute of
Information Technologies and Learning Tools of the NAES of Ukraine.
http://iitlt.gov.ua/eng/working/academic-research-consortium.php
(2018). Accessed 21 Dec 2018.
13. Pryima, S. M.: Osoblyvosti funktsionuvannia intelektualnykh
adaptyvnykh navchalnykh system vidkrytoi osvity doroslykh (Features
of functioning of intellectual adaptive educational systems of open adult
education). Visnyk Natsionalnoi akademii Derzhavnoi prykordonnoi
sluzhby Ukrainy 3, 241–254 (2012).
14. Pugliese, L.: Adaptive Learning Systems: Surviving the
Storm. EDUCAUSE Review. https://er.educause.edu/articles
/2016/10/adaptive-learning-systems-surviving-the-storm (2016).
Accessed 21 Mar 2018.
15. Pugliese, L.: The Visualization for an Ideal Adaptable
Learning Ecosystem. IMS Global Learning Consortium.
https://www.imsglobal.org/adaptive-adaptable-next-generation-per
sonalized-learning#visualizationforidealadaptablelearningecosystem
(2015). Accessed 21 Mar 2018.
16. Salomoni, D., Campos, I., Gaido, L., de Lucas, J. M., Solagna, P.,
Gomes, J., Matyska, L., Fuhrman, P., Hardt, M., Donvito, G., Dutka,
L., Plociennik, M., Barbera, R., Blanquer, I., Ceccanti, A., Cetinic,
E., David, M., Duma, C., L´opez-Garc´ıa, A., Molt´o, G., Orviz, P.,
Sustr, Z., Viljoen, M., Aguilar, F., Alves, L., Antonacci, M., Antonelli,
L. A., Bagnasco, S., Bonvin, A. M. J. J., Bruno, R., Chen, Y., Costa, A.,
Davidovic, D., Ertl, B., Fargetta, M., Fiore, S., Gallozzi, S., Kurkcuoglu,
Z., Lloret, L., Martins, J., Nuzzo, A., Nassisi, P., Palazzo, C., Pina, J.,
Sciacca, E., Spiga, D., Tangaro, M., Urbaniak, M., Vallero, S., Wegh,
B., Zaccolo, V., Zambelli, F., Zok, T.: INDIGO-DataCloud: a Platform
to Facilitate Seamless Access to E-Infrastructures. Journal of Grid
Computing 16 (3), 381–408 (2018). doi: 10.1007/s10723-018-9453-3
17. Semerikov, S. O., Teplytskyi, I. O.: Metodyka uvedennia osnov Machine
learning u shkilnomu kursi informatyky (Methods of introducing the
basics of Machine learning in the school course of informatics). In:
Problems of informatization of the educational process in institutions
of general secondary and higher education, Ukrainian scientific and
practical conference, Kyiv, October 09, 2018, pp. 18–20. Vyd-vo NPU
imeni M. P. Drahomanova, Kyiv (2018).
18. Semerikov, S. O.: Zastosuvannia metodiv mashynnoho navchannia
u navchanni modeliuvannia maibutnikh uchyteliv khimii (The use
of machine learning methods in teaching modeling future chemistry
teachers). In: Starova, T. V. (ed.) Technologies of teaching chemistry
at school and university, Ukrainian Scientific and Practical Internet
Conference, Kryvyi Rih, November 2018, pp. 10–19. KDPU, Kryvyi
Rih (2018).
19. Sonwalkar, N.: The First Adaptive MOOC: A Case Study on Pedagogy
Framework and Scalable Cloud Architecture. MOOCs FORUM 1 (P),
22–29. doi: 10.1089/mooc.2013.0007
20. Sragovich, V. G.: Adaptivnoe upravlenie (Adaptive control). Nauka,
Moscow (1981).
21. Tseng, J. C. R., Chu, H.-C., Hwang, G.-J., Tsai, C.-C.: Development
of an adaptive learning system with two sources of personalization
information. Computers & Education 51 (2), 776–786 (2008).
doi: 10.1016/j.compedu.2007.08.002 |
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