Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)

Personalized Distance Learning Using the STACK System

Authors
Dmitry Kruchinin, Yuriy Shablya, Alexander Shelupanov, Vadim Melman
Corresponding Author
Dmitry Kruchinin
Available Online December 2017.
DOI
10.2991/itsmssm-17.2017.5How to use a DOI?
Keywords
distance learning, self-learning, STACK, feedback, computer algebra system
Abstract

In this paper, we consider aspects of organizing self-learning for students on mathematical disciplines. We describe a scheme for monitoring and evaluating work of students based on using a specific feedback. That allows us to personalize distance learning. We demonstrate the advantages of learning systems like the STACK system that is based on computer algebra systems.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
Series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
10.2991/itsmssm-17.2017.5
ISSN
2352-538X
DOI
10.2991/itsmssm-17.2017.5How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dmitry Kruchinin
AU  - Yuriy Shablya
AU  - Alexander Shelupanov
AU  - Vadim Melman
PY  - 2017/12
DA  - 2017/12
TI  - Personalized Distance Learning Using the STACK System
BT  - Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
PB  - Atlantis Press
SP  - 18
EP  - 20
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-17.2017.5
DO  - 10.2991/itsmssm-17.2017.5
ID  - Kruchinin2017/12
ER  -