Source: https://www.iejme.com/article/information-streams-of-education-content-integrative-designing-at-a-federal-university
Timestamp: 2019-04-19 18:18:17+00:00

Document:
Reference: Kirilova GI, Vlasova VK. Information Streams of Education Content Integrative Designing at a Federal University. Int Elect J Math Ed. 2016;11(4), 767-778.
Reference: Kirilova, G. I., & Vlasova, V. K. (2016). Information Streams of Education Content Integrative Designing at a Federal University. International Electronic Journal of Mathematics Education, 11(4), 767-778.
Reference: Kirilova, Galia I., and Vera K. Vlasova. "Information Streams of Education Content Integrative Designing at a Federal University". International Electronic Journal of Mathematics Education 2016 11 no. 4 (2016): 767-778.
Reference: Kirilova, G. I., and Vlasova, V. K. (2016). Information Streams of Education Content Integrative Designing at a Federal University. International Electronic Journal of Mathematics Education, 11(4), pp. 767-778.
Reference: Kirilova, Galia I. et al. "Information Streams of Education Content Integrative Designing at a Federal University". International Electronic Journal of Mathematics Education, vol. 11, no. 4, 2016, pp. 767-778.
Reference: Kirilova GI, Vlasova VK. Information Streams of Education Content Integrative Designing at a Federal University. Int Elect J Math Ed. 2016;11(4):767-8.
Modern university education is aimed to provide a future expert with knowledge and experience of professional activity in the context of information society development and innovative knowledge-intensive production. At the same time information the teacher should be furnished with to implement own designing activity in the context of new education content formation is getting actual. Such designing is gaining an integrative character and becomes essential in the environment of controlled information streams. The paper reveals the phenomenon of education content integrative designing, features and invariant requirements to its content adequate to current trends of university education development, and ensures the unity and specificity of educational, scientific, production and social spheres of education content implementation realized within the selection of a variable logistic trajectory of its designing. The leading approaches to research the ways of integrative designing were system analysis of dynamic information educational environment and modeling of a logistic structure of information streams of educational purpose. The paper reveals the double-circuit organization of data exchange in the course of education content designing within which internal streams provide disciplinary differentiation, and external streams provide integration of disciplines, training profiles and educational structures. The paper develops subject - subject and subject – object exchange of information between educational organizations and society, between governing structures and divisions, between students and teachers in information educational environment of education content integrative designing. The paper proves that integration of information streams is a key idea to solve problems of timely and high-quality integrative designing of innovative education content. Practical significance of materials from the paper is that on the basis of described procedures the realization of developed functions and established interactions can be transferred to links of the information environment, and exchange of information becomes mediated by information resources and agents of educational purpose. The practical importance consists in the detailed and experimentally approved organization of an integration link regulating information exchanges in the course of designing and educational activity of subjects and agents of educational process.
Batov, A. V., Breer, V. V., Novikov, D. A., Rogatkin, A. D. (2016). Micro- and macromodels of social networks. II. Identification and simulation experiments. Automation and Remote Control, 2, 321-331.
Blum, A., Mansour, Y., Morgenstern, J. (2015). Learning valuation distributions from partial observations. Proceedings of the National Conference on Artificial Intelligence, 15, 798–805.
Gubanov, D. A., Makarenko, A. V., Novikov, D. A. (2014). Analysis methods for the terminological structure of a subject area. Automation and Remote Control, 12(75), 2231-2247.
Livshitz, V. M. (2006). On the history of studying learning waves. Voprosy Psikhologii. pp. 160-163.
Novikov, D. A. (2001). Incentive mechanisms for Multi-agent systems. Workshop on Agent-basedsimulation. Passau, Germany. 372p.
Novikov, D. A. (2015). Big data and big control. Advances in Systems Science and Applications, 1, 21 – 36.
Novikov, D. A. & Chkhartishvili, A.G. (2014). Mathematical models of informational and strategic reflexion. Advances in Systems Science and Applications, 3, 254 - 277.
Slastenin, V. A. (1975). Training creative teachers in the Union of Soviet Socialist Republics. Prospects - Quarterly Review of Education, 2(14), 164-172.
Vlasova, V. K., Kirilova, G. I. & Curteva, O. V. (2016). Matrix classification of information environment algorithms application in the educational process. Mathematics Education, 1, 165-171.
Vlasova, V. K., Kirilova, G. I. & Masalimova, A. R. (2015). Information and logistic foundations of pedagogical education design and content education. Review of European Studies, 7(4), 54-58.
Vlasova, V. K., Kirilova, G. I. & Sabirova, E. G. (2015). Functioning of information educational environment. Review of European Studies, 7 (5), 25-30.

References: V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V.