Description:
1. Aleksanian, G. A.: Formirovanie samostoiatelnoi deiatelnosti studentov
SPO v obuchenii matematike s ispolzovaniem oblachnykh tekhnologii
(Formation of independent activities of students of secondary
vocational education in teaching mathematics using cloud technologies).
Dissertation, Armavir State Pedagogical University (2014).
2. Arpaci, I.: Antecedents and consequences of cloud computing adoption
in education to achieve knowledge management. Computers in Human
Behavior 70, 382–390 (2017). doi: 10.1016/j.chb.2017.01.024
3. Bitar, M.: An analysis of cloud based e-learning providers’ versioning
strategy. Dissertation, Blekinge Institute of Technology (2017).
4. Fischer, J., Tuecke, S., Foster, I., Stewart, C. A.: Jetstream: A
Distributed Cloud Infrastructure for Underresourced higher education
communities. In: SCREAM ’15 Proceedings of the 1st Workshop on
The Science of Cyberinfrastructure: Research, Experience, Applications
and Models, Portland, Oregon, USA — June 16, 2015, pp. 53–61. ACM,
New York (2015). doi: 10.1145/2753524.2753530
5. Galkina, L. S.: Metodika razvitiia IKT-kompetentnosti budushchikh
ekonomistov i menedzherov sredstvami oblachnykh tekhnologii pri
obuchenii distciplinam informatcionnogo tcikla (The methodology for
the development of ICT competence of future economists and managers
using cloud technologies in teaching the disciplines of the information
cycle). Dissertation, Perm State University (2017).
6. Guti´errez-Carre´on, G., Daradoumis, T., Jorba, J.: Integrating Learning
Services in the Cloud: An Approach that Benefits Both Systems and
Learning. Journal of Educational Technology & Society, 18 (1), 145–157
(2015).
7. Huang, W., Jin, L., Sandia, I.: Using Agent Solutions and
Visualization Techniques to Manage Cloud-based Education
System. In: International Conference on Engineering, Technology and
Applied Science (ICETA2016), Tai Pei, Tai Wan 20–22 Apr 2016,
International Business Academic Consortium. WestminsterResearch. https://westminsterresearch.westminster.ac.uk/download/4e28ebe530f
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/ICETA%202016.pdf (2016).
8. Kasian, S. P.: Upravlinnia dokumentoobihom u zakladakh
pisliadyplomnoi pedahohichnoi osvity na osnovi khmarnykh tekhnolohii
(Workflow Management institutions of postgraduate education based
on cloud technology). Dissertation, University management education
(2016).
9. Khomutenko, M. V.: Metodyka navchannia atomnoi i yadernoi fizyky
starshoklasnykiv u khmaro zoriientovanomu navchalnomu seredovyshchi
(A methodology of teaching senior students atomic and nuclear physics
in a cloud oriented learning environment). Dissertation, Volodymyr
Vynnychenko Central Ukrainian State Pedagogical University (2018).
10. Kiv, A., Semerikov, S., Soloviev, V., Kibalnyk, L., Danylchuk, H.,
Matviychuk, A.: Experimental Economics and Machine Learning for
Prediction of Emergent Economy Dynamics. In: Kiv, A., Semerikov,
S., Soloviev, V., Kibalnyk, L., Danylchuk, H., Matviychuk, A. (eds.)
Experimental Economics and Machine Learning for Prediction of
Emergent Economy Dynamics, Proceedings of the Selected Papers of the
8
th International Conference on Monitoring, Modeling & Management
of Emergent Economy (M3E2 2019), Odessa, Ukraine, May 22–24,
2019. CEUR Workshop Proceedings 2422, 1–4. http://ceur-ws.org/Vol2422/paper00.pdf (2019). Accessed 1 Aug 2019.
11. Kobayashi, T., Arai, K., Sato, H., Tanimoto, S., Kanai, A.: An
application framework for smart education system based on mobile
and cloud systems. IEICE Transactions on Information and Systems
E100.D (10), 2399–2410 (2017). doi: 10.1587/transinf.2016OFP0001
12. Korotun, O. V.: Clouds oriented learning management system CANVAS.
Pedagogical sciences: theory, history, innovative technologies 55 (1),
230–239 (2016).
13. Korotun, O. V.: Learning management system Canvas as a component
cloud oriented learning environment. Science and Education a New
Dimension. Pedagogy and Psychology, IV (45) (93), 30–33 (2016).
14. Korotun, O. V.: Vykorystannia khmaro oriientovanoho seredovyshcha
u navchanni baz danykh maibutnikh uchyteliv informatyky (Use a
cloud oriented environment to training future teachers of Information
Science to master database). Dissertation, Zhytomyr Ivan Franko State
University (2018).
15. Kryvonos, О. М., Korotun, O. V.: Steps of the Design of Cloud Oriented
Learning Environment in the Study of Databases for Future Teachers
of Informatics. Information Technologies and Learning Tools 63 (1),
130–145. doi: 10.33407/itlt.v63i1.1866
16. Lytvynova, S. H.: Teoretyko-metodychni osnovy proektuvannia
khmaro-oriientovanoho navchalnoho seredovyshcha zahalnoosvitnoho
navchalnoho zakladu (Theoretical and methodological bases of
designing cloud-oriented learning environment educational institution).
Dissertation, Institute of Information Technologies and Learning Tools
of NAES of Ukraine (2016).
17. Markova, O. M., Semerikov, S. O., Striuk, A. M., Shalatska, H. M.,
Nechypurenko, P. P., Tron, V. V.: Implementation of cloud service
models in training of future information technology specialists. In: Kiv,
A. E., Soloviev, V. N. (eds.) Proceedings of the 6th Workshop on Cloud
Technologies in Education (CTE 2018), Kryvyi Rih, Ukraine, December
21, 2018. CEUR Workshop Proceedings 2433, 499–515. http://ceurws.org/Vol-2433/paper34.pdf (2019). Accessed 10 Sep 2019.
18. Markova, O. M.: Khmarni tekhnolohii yak zasib navchannia osnov
matematychnoi informatyky studentiv tekhnichnykh universytetiv
(Cloud technologies as a learning tool of the foundations of
mathematical informatics for students of technical universities).
Dissertation, Kryvyi Rih State Pedagogical University (2018).
19. Merzlykin, O. V.: Khmarni tekhnolohii yak zasib formuvannia
doslidnytskykh kompetentnostei starshoklasnykiv u protsesi profilnoho
navchannia fizyky (Cloud technologies as tools of high school students’
research competencies forming in profile physics learning). Dissertation,
Institute of Information Technologies and Learning Tools of NAES of
Ukraine (2017).
20. Palii, S. V.: Khmarni mekhanizmy formuvannia informatsiinoorhanizatsiinoho seredovyshcha dovuzivskoi pidhotovky studentiv
(Cloud mechanisms of formation of information-organizational
environment of pre-university training of students). Dissertation, Kyiv
National University of Building and Architecture (2014).
21. Pocatilu, P., Alecu, F., Vetrici, M.: Measuring the Efficiency of Cloud
Computing for E-learning Systems. WSEAS Transactions on Computers
9 (1), 42–51 (2010).
22. Pop, D.: Machine learning and cloud computing: survey of
distributed and SaaS solutions. arXiv:1603.08767 [cs.DC].
https://arxiv.org/pdf/1603.08767 (2016). Accessed 21 Mar 2018.
23. Popel, M. V.: Khmarnyi servis SageMathCloud yak zasib formuvannia
profesiinykh kompetentnostei vchytelia matematyky (The cloud
service SageMathCloud as a tool of mathematics teacher professional
competencies formation). Dissertation, Institute of Information
Technologies and Learning Tools of NAES of Ukraine (2017).
24. Rassovytska, M. V., Striuk, A. M.: The system of cloud-oriented tools of
learning computer science disciplines of engineering specialties students.
In: Semerikov, S. O., Shyshkina, M. P. (eds.) Proceedings of the 5th
Workshop on Cloud Technologies in Education (CTE 2017), Kryvyi
Rih, Ukraine, April 28, 2017. CEUR Workshop Proceedings. 2168,
20–26. http://ceur-ws.org/Vol-2168/paper4.pdf (2018). Accessed 21
Nov 2018.
25. Riahi, G.: E-learning Systems Based on Cloud Computing:
A Review. Procedia Computer Science 62, 352–359 (2015).
doi: 10.1016/j.procs.2015.08.415
26. S´anchez, M., Aguilar, J., Cordero, J., Valdiviezo, P.: A smart learning
environment based on cloud learning. International Journal of Advanced
Information Science and Technology 39 (39), 39–52 (2015).
27. 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).
28. 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).
29. Seytveliyeva, S. N.: Metodyka navchannia khmarnykh tekhnolohii
maibutnikh inzheneriv-prohramistiv (Methods of teaching cloud future software engineers). Dissertation, Crimean Engineering and Pedagogical
University (2017).
30. Shevchenko, V. G.: Oblachnye tekhnologii kak sredstvo formirovaniia
IKT-kompetentnosti budushchikh uchitelei informatiki (Cloud
technologies as a tools of forming ICT competence of future informatics
teachers). Dissertation, Moscow Region State University (2016).
31. Shyshkina, M. P.: Teoretyko-metodychni zasady formuvannia i rozvytku
khmaro oriientovanoho osvitno-naukovoho seredovyshcha vyshchoho
navchalnoho zakladu (Theoretical and methodological principles of
formation and development of the cloud-based educational and research
environment of higher educational institution). Dissertation, Institute
of Information Technologies and Learning Tools of NAES of Ukraine
(2016).
32. Singh, U., Baheti, P. K.: Role and Service of Cloud Computing
for Higher Education System. International Research
Journal of Engineering and Technology 4 (11), 708–711.
https://www.irjet.net/archives/V4/i11/IRJET-V4I11125.pdf (2017).
Accessed 21 Mar 2018.
33. Skrynnik, N. V.: Metodyka navchannia ukrainskoi literatury uchniv 5–6
klasiv z vykorystanniam khmarnykh tekhnolohii (Techniques of teaching
Ukrainian literature in the 5th–6th classes using cloud technologies).
Dissertation, National Pedagogical Dragomanov University (2017).
34. Stupina, M. V.: Formirovanie kompetentnosti studentov v oblasti
ispolzovaniia instrumentalnykh sredstv razrabotki informatcionnykh
sistem s primeneniem oblachnykh tekhnologii (na primere podgotovki
budushchikh bakalavrov-razrabotchikov informatcionnykh sistem)
(Formation of students’ competence in the field of using tools for
developing information systems using cloud technologies (by example
the training of future bachelors-developers of information systems)).
Dissertation, Institut upravleniia obrazovaniem Rossiiskoi akademii
obrazovaniia (2018).
35. Sun, G., Cui, T., Yong, J., Shen, J., Chen, S.: MLaaS: a cloud-based
system for delivering adaptive micro learning in mobile MOOC learning.
IEEE Transactions on Services Computing 11 (2), 292–305 (2018).
doi: 10.1109/TSC.2015.2473854
36. Tashkandi, A. N, Al-Jabri, I. M.: Cloud computing adoption by higher
education institutions in Saudi Arabia: an exploratory study. Cluster
Computing 18 (4), 1527–1537 (2015). doi: 10.1007/s10586-015-0490-4 37. Vakaliuk, T. A.: Cloud Oriented Model for Support of Bachelor of
Informatics Training. Information Technologies and Learning Tools
56 (6), 64–76 (2016). doi: 10.33407/itlt.v56i6.1415
38. Vakaliuk, T. A.: Cloud technology in education: Textbook for students
of Physics and Mathematics. ZhSU Publishing House, Zhytomyr (2016).
39. Vdovychyn, Т. J.: Vykorystannia merezhnykh tekhnolohii vidkrytykh
system u navchanni maibutnikh bakalavriv informatyky (The use of
network technologies of open systems in the training of future bachelors
of computer science). Dissertation, Institute of Information Technologies
and Learning Tools of NAES of Ukraine (2017).
40. Voloshyna, T. V.: Vykorystannia hibrydnoho khmaro oriientovanoho
navchalnoho seredovyshcha dlia formuvannia samoosvitnoi
kompetentnosti maibutnikh fakhivtsiv z informatsiinykh tekhnolohii
(The use of a hybrid cloud-based learning environment for forming
the self-education competence of future IT specialists). Dissertation,
Institute of Information Technologies and Learning Tools of NAES of
Ukraine (2018).