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

Intelligent Information Technology in Education

Authors
Anna Yankovskaya, Yury Dementyev, Danil Lyapunov, Artem Yamshanov
Corresponding Author
Anna Yankovskaya
Available Online May 2016.
DOI
https://doi.org/10.2991/itsmssm-16.2016.11How to use a DOI?
Keywords
Intelligent information technology, pattern recognition, mixed diagnostic tests, learning trajectory, blended learning, decision-making, cognitive graphic tools
Abstract
Intelligent information technology (IIT) for the purpose of education within the blended learning paradigm is discussed. The technology is based on the construction of mixed diagnostic tests (MDTs) used for decision-making. Each MDT represents a compromise between unconditional and conditional components. The cognitive graphic tools are used as IIT subsystem for decision justification. The IIT is proposed for control, students' knowledge monitoring, professional and personal skills and abilities development, and designing the learning trajectory for every student. A technique for IIT construction based on the MDTs, threshold and fuzzy logics, and cognitive graphic tools is suggested.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Information Technologies in Science, Management, Social Sphere and Medicine
Part of series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-196-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/itsmssm-16.2016.11How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Anna Yankovskaya
AU  - Yury Dementyev
AU  - Danil Lyapunov
AU  - Artem Yamshanov
PY  - 2016/05
DA  - 2016/05
TI  - Intelligent Information Technology in Education
BT  - Information Technologies in Science, Management, Social Sphere and Medicine
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-16.2016.11
DO  - https://doi.org/10.2991/itsmssm-16.2016.11
ID  - Yankovskaya2016/05
ER  -