Headings of the journal
"Educational Resources and Technologies"
All rubrics
Release: 2017-3 (20)
DOI: 10.21777/2500-2112-2017-3-55-61
Keywords: Information Philosophy, Modeling, Transformation, Information Morphism, Communication, Information Model, Information Conformity
Annotation: The article explores the mechanisms for transforming implicit knowledge as an ideal phenomenon into formal and material models. The article explores the processes of transforming implicit knowledge. The article introduces the concepts of formalized and unformalized implicit knowledge. The article analyzes SECI’s information model as a four-stage model of knowledge transformation. The article considers the model of an information message. The information message model is considered as a complex model in which different information models change their shape while maintaining the content.
Conservative methodology of interior and external problem solving
Release: 2017-2 (19)
DOI: 10.21777/2500-2112-2017-2-57-64
Keywords: conservative methodology, social life, religious life, emanation, Russian religious life, east European orthodox discipline, law, culture and art, science.
Annotation: The article contains the explanation of basic principles of conservative methodology of interior and external problem solving.
Teaching a foreign language through “specialized” reading
Release: 2017-4 (21)
DOI: 10.21777/2500-2112-2017-4-59-62
Keywords: foreign language teaching, English, “specialized” reading, special terminology, reading technique
Annotation: The paper considers the peculiar features of forming reading skills in the English language as an essential stage of teaching “specialized” reading to students of a technical university. It justifies the significance of teaching students of non-linguistic universities to read special (technical) terminology.
Algorithmic modeling
Release: 2017-1 (18)
DOI: 10.21777/2312-5500-2017-1-36-40
Keywords: Algorithm, programming, modeling, design, structural analysis, logical analysis
Annotation: The article analyzes methods for constructing algorithms using different approaches. The article considers the algorithm from different positions: as a complex system, as a functional system, as an information structure. The article substantiates the inclusion of all system qualities in the algorithm model. In general, the analysis provides a basis for introducing a new concept of «algorithmic modeling»
Information, reducing uncertainty and information, increasing content
Release: 2017-3 (20)
DOI: 10.21777/2500-2112-2017-3-62-68
Keywords: information science, information theory, amount of information, knowledge, not knowledge, information uncertainty
Annotation: The article analyzes two types of information. The first kind of information is related to entropy and the work of K. E. Shannon. This information reduces uncertainty. The second type of information is associated with negentropy and the works of N. Winner and L. Floridi. The article describes the difference between the concepts of “ignorance” and “knowledge”. Paper describes an example showing the difference between the amount of information for KE Shannon and N. Winner. The article describes a method for estimating negentropy based on “non-Gaussian”.