Headings of the journal
"Educational Resources and Technologies"

Educational environmentMethods and technologies of training and educationInformation technologyMathematical cyberneticsMethodological researchManagement in social and economic systemsApplied GeoinformaticsEducation for sustainable developmentAll rubrics

All rubrics

Practical discrete mathematics and mathematics of logic (practical occupations 12–16)

Page:27-40

Release: 2016-4 (16)

DOI: 10.21777/2312-5500-2016-4-27-40

Annotation: The technique of solving problems on a practical training on discipline «Discrete mathematics and mathematical logic» developed and applied in practice in the universities of the Perm region

Practical discrete mathematics and mathematics of logic (practical occupations 7–11)

Page:29-46

Release: 2016-3 (15)

DOI: 10.21777/2312-5500-2016-3-29-46

Annotation: The technique of solving problems on a practical training on discipline «Discrete mathematics and mathematical logic» developed and applied in practice in the universities of the Perm region

Methods and tools of teaching programming in the institutes of higher education

Page:23-30

Release: 2016-2 (14)

Annotation: The methods and tools for teaching programming developed by the Program Construction and Optimization Laboratory of the A.P. Ershov Institute of Informatics Systems and by the Programming Department of Novosibirsk State University are considered

Cognitive methods for educational quality assessmen

Page:34-39

Release: 2016-1 (13)

DOI: 10.21777/2500-2112-2016-1-34-39

Annotation: The article examines the quality of education depends on cognitive factors. The article describes the new characteristics of the information – cognitive entropy. The article describes a model: information, communication and cognitive interaction. The article suggests that cognitive factors are taken into account with the introduction of cognitive filter. Cognitive entropy is described as a statistical characteristic. Cognitive entropy is a universal characteristic, which, depending on the set of statistics allows to evaluate cognitive measure: the file object, the teacher, the group of students. Evaluation of cognitive entropy allows to characterize and improve the quality of education

Neurocomputing technologies` implementation in decision support system for bionic research

Page:34-39

Release: 2016-5 (17)

DOI: 10.21777/2312-5500-2016-5-34-39

Annotation: The former article regards an intellectual system which provides information support for bionic technologies` research and development. The main focus is on its integrative capacity what can be achieved by specific integration modules which utilize the potential of non-classic computing architectures. The premises for such integration are provided, the basic concepts of integrative modules` architecture are discussed