Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

Informative predict system of educational activity of the first-year students

Authors
Olga Marukhina, Irina Rogozhkina, Margarita Bobrova, Natalia Kozlova, Elena Berestneva
Corresponding Author
Olga Marukhina
Available Online May 2016.
DOI
10.2991/itsmssm-16.2016.52How to use a DOI?
Keywords
educational activities, students adaptation, motivation, ratio, quality improvement, informational content
Abstract

The article shows the importance of educational activities and its prediction for the first-year students. Some computational methods of analysis and recognition of states were considered. The method of non-uniform sequential procedure of recognition of states was considered in detail as well. The developed software was applied to solve specific problems of the area of psychological research and diagnostics. Some universal algorithms were used in the most informative signs of physical nature and calculated with help of mathematics. The results of psychological tests can be performed as starting material for processing, medical data as well and data from other areas of research. It is possible to obtain a diagnostic assessment of projected state with the accumulation of a sufficient amount of information required for a certain type.The article shows the importance of educational activities and its prediction for the first-year students. Some computational methods of analysis and recognition of states were considered. The method of non-uniform sequential procedure of recognition of states was considered in detail as well. The developed software was applied to solve specific problems of the area of psychological research and diagnostics. Some universal algorithms were used in the most informative signs of physical nature and calculated with help of mathematics. The results of psychological tests can be performed as starting material for processing, medical data as well and data from other areas of research. It is possible to obtain a diagnostic assessment of projected state with the accumulation of a sufficient amount of information required for a certain type.The article shows the importance of educational activities and its prediction for the first-year students. Some computational methods of analysis and recognition of states were considered. The method of non-uniform sequential procedure of recognition of states was considered in detail as well. The developed software was applied to solve specific problems of the area of psychological research and diagnostics. Some universal algorithms were used in the most informative signs of physical nature and calculated with help of mathematics. The results of psychological tests can be performed as starting material for processing, medical data as well and data from other areas of research. It is possible to obtain a diagnostic assessment of projected state with the accumulation of a sufficient amount of information required for a certain type.The article shows the importance of educational activities and its prediction for the first-year students. Some computational methods of analysis and recognition of states were considered. The method of non-uniform sequential procedure of recognition of states was considered in detail as well. The developed software was applied to solve specific problems of the area of psychological research and diagnostics. Some universal algorithms were used in the most informative

Copyright
© 2016, 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 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-196-4
ISSN
2352-538X
DOI
10.2991/itsmssm-16.2016.52How to use a DOI?
Copyright
© 2016, 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  - Olga Marukhina
AU  - Irina Rogozhkina
AU  - Margarita Bobrova
AU  - Natalia Kozlova
AU  - Elena Berestneva
PY  - 2016/05
DA  - 2016/05
TI  - Informative predict system of educational activity of the first-year students
BT  - Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine
PB  - Atlantis Press
SP  - 253
EP  - 256
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-16.2016.52
DO  - 10.2991/itsmssm-16.2016.52
ID  - Marukhina2016/05
ER  -