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www.T-Science.org       p-ISSN 2308-4944 (print)       e-ISSN 2409-0085 (online)
SOI: 1.1/TAS         DOI: 10.15863/TAS

Journal Archive

ISJ Theoretical & Applied Science 07(51) 2017

ISPC Materials and technologies, Philadelphia, USA

* Scientific Article * Impact Factor 6.630


Parfenov D, Zaporozhko V

ADAPTIVE TECHNOLOGY FOR SUPPORT STUDENTS IN THE LEARNING PROCESS WITH USING THE MASSIVE ONLINE COURSES IN THE CLOUD INFRASTRUCTURE.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-07-51-2

DOI: https://dx.doi.org/10.15863/TAS.2017.07.51.2

Language: English

Citation: Parfenov D, Zaporozhko V (2017) ADAPTIVE TECHNOLOGY FOR SUPPORT STUDENTS IN THE LEARNING PROCESS WITH USING THE MASSIVE ONLINE COURSES IN THE CLOUD INFRASTRUCTURE. ISJ Theoretical & Applied Science, 07 (51): 7-11. Soi: http://s-o-i.org/1.1/TAS-07-51-2 Doi: https://dx.doi.org/10.15863/TAS.2017.07.51.2

Pages: 7-11

Published: 30.07.2017

Abstract: In our investigation as results represent the developed model of the adaptive МООС, which show its effectiveness, expressed in the growth of the motivation of course participants, the acquisition of planned learning outcomes by the trainees, their satisfaction with the learning process, the increase in the number of students successfully completing the course, increasing self-discipline, reducing the irrationally used time in the course. The developed model of adaptive MOOC improves the efficiency and quality of online education, providing students with the most opportunities for personalized learning.

Key words: mass open online courses, MOOC, BigData, adaptive learning, cloud computing.


 

 

 

 

 

 

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