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Matrix Model of Cognitive Activity as One of the Meta Basis of Digital Education

  • N. A. TymoschukEmail author
  • E. N. Ryabinova
  • O. A. Sapova
  • V. Oddo
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 908)

Abstract

Due to the transition to informatization and digital education society focuses on self-education. Digitalization development will demand the search for meta basis in strategic and tactical approaches to education: there will be formalization of educational information adoption by step-by-step implementation of logical schemes of an approximate basis of actions. It is shown that the educational environment has a considerable impact on the preparation of competitive engineers. The education guidance, a workbook and the reference media on the studied subject are modern educational methodological support for creation of necessary conditions to provide sufficient achievement of theoretical material and practical skills to organize effective students’ self-work. The technology of the organization of self-educational students’ activity on the basis of matrix model of cognitive activity is rather simple and clear both for teachers and students, and can be applied to studying of any subject. By means of cognitive and activity matrix all volume of preparation material breaks into four modules, each of which has various level of complexity. The first module contains the simplest tasks of the first level of complexity, the second one includes the tasks of the second level of complexity, etc. Each module contains the optimum number of theoretical data and tasks, both with detailed stage-by-stage analysis and an explanation and for self-work. The presented discretization and formalization of development of the subject by means of matrix model of cognitive activity opens only one of possible ways to digital education.

Keywords

Cognitive and activity matrix Competitive engineers Digital education Metaeducation Metabases Self-educational activity 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • N. A. Tymoschuk
    • 1
    Email author
  • E. N. Ryabinova
    • 1
  • O. A. Sapova
    • 2
  • V. Oddo
    • 3
  1. 1.Samara State Technical UniversitySamaraRussia
  2. 2.Samara State University of EconomicsSamaraRussia
  3. 3.University Nice Sophia-AntipolisNiceFrance

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