Intellectualization of Educational Information Systems Based on Adaptive Semantic Models

Shikhnabieva, Tamara; Brezhnev, Alexey; Saidakhmedova, Marida; Brezhneva, Aleksandra; Khachaturova, Seda

doi:10.1007/978-3-319-92363-5_8

Cited by 5 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of the proposed methodology for the control of knowledge in the form of distance learning [15] also allows for the provision of the following: (a) an individual learning pace when implementing feedback; (b) an activity approach in choosing the solution of the problem, taking into account educational situations; (c) the connection of new concepts with existing concepts and concepts, which improves understanding; (d) the implementation of deep knowledge processing, which increases the use of acquired knowledge in new situations. You can also use the query network to control students' knowledge.…”

Section: Resultsmentioning

confidence: 99%

The System of Knowledge Control Based on Adaptive Semantic Models

Shikhnabieva¹

2018

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

Self Cite

View full text Add to dashboard Cite

：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.

show abstract

Section: Resultsmentioning

confidence: 99%

The System of Knowledge Control Based on Adaptive Semantic Models

Shikhnabieva¹

2018

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

Self Cite

View full text Add to dashboard Cite

show abstract

“…In continuation of this study, Chazhaeva et al (2020) attempted to rank countries moving along the path of digitalization and highlighted the threats that impede this process (Chazhaeva et al, 2020). The study attempts to identify the prospects for bringing the digital economy model in line with current requirements for its sustainability and work out some recommendations for managing its threats (Zlivko et al, 2018;Shikhnabieva et al, 2019;Yemelyanov et al, 2018). In conclusion, the idea is formulated that the practical implementation of the digital economy model does not guarantee its sustainable development -its growth can occur according to one of three scenarios: stable (no fluctuations in GDP growth rates in stable prices, for example, in Indonesia and China); unstable development and crisis (bright fluctuations in GDP growth rates in real terms -for example, in Venezuela and Russia); sustainable growth (the most preferred scenario, which provides for an increase in GDP growth rates in real terms -for example, in Singapore and the USA).…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Society: New Challenges for Education

Гапсаламов¹,

Bochkareva²,

Akhmetshin³

et al. 2020

PTQ

View full text Add to dashboard Cite

The world has entered a new phase of development – the era of digital society. Under the influence of a new round of technological progress, the mechanisms and practices of the world order, as well as equipment and technologies, are changing. The range of innovations today is not limited to one or two industries; changes cover almost everything – telecommunications, information and communication sectors, nanotechnology, space, bioengineering, robotics, etc. The research aims to study the processes of changing the paradigm of social development under the influence of the formation of a digital society. The article analyzes the concept of "digital society," shows how the tools of the digital economy are used to justify a paradigm shift in social development for the modern generation. The research methodology is based on a systematic and structural-functional approach. Also, methods of sociological survey and statistical processing of information were used. As a result of the analysis, plans to the definition of the digital economy are formulated, the stages of development of digital society are presented, the trajectories of technological changes in the digital era are identified, and problems that inhibit the digitalization process are formulated.

show abstract