Proceedings of the International Conference on the Development of Education in Russia and the CIS Member States (ICEDER 2018)

The System of Knowledge Control Based on Adaptive Semantic Models

Authors
Tamara Shikhnabieva
Corresponding Author
Tamara Shikhnabieva
Available Online December 2018.
DOI
https://doi.org/10.2991/iceder-18.2018.12How to use a DOI?
Keywords
training, knowledge management, intelligent tutoring systems, adaptive semantic model
Abstract
The existing automated systems of training and knowledge control have a rigid structure, do not fully take into account students’ individual characteristics, i.e. are not non-adaptive. To build adaptive learning systems, along with knowledge about the subject, it is necessary to have some information about knowledge and goals of students (a user model). Considering a user model allows developing adaptive learning systems that identify the level of knowledge of students and, accordingly, provide each user with an individual learning path and an individual electronic textbook. The article presents one of the options for building adaptive learning systems and knowledge control based on the use of achievements of Cybernetics, synergetics, and the theory of artificial intelligence.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Tamara Shikhnabieva
PY  - 2018/12
DA  - 2018/12
TI  - The System of Knowledge Control Based on Adaptive Semantic Models
BT  - International Conference on the Development of Education in Russia and the CIS Member States (ICEDER 2018)
PB  - Atlantis Press
SP  - 62
EP  - 66
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceder-18.2018.12
DO  - https://doi.org/10.2991/iceder-18.2018.12
ID  - Shikhnabieva2018/12
ER  -