Дата-грамостность и наука о данных: Образовательные подходы и решения

Deryabin, Andrey; Popov, Alexandr; Gluhov, Pavel

Data-gravity and Data Science: Educational Approaches and Solutions
[Arbeitspapier]

dc.contributor.author	Deryabin, Andrey	de
dc.contributor.author	Popov, Alexandr	de
dc.contributor.author	Gluhov, Pavel	de
dc.date.accessioned	2022-11-11T15:06:21Z
dc.date.available	2022-11-11T15:06:21Z
dc.date.issued	2020	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/83009
dc.description.abstract	In the context of fundamental changes in the economy and the labor market, the introduction of educational programs in the field of data analysis and machine learning at all levels of education with the priority of integrating mathematical, natural science and socio-humanitarian knowledge becomes important. An overview and analysis of foreign experience and main discussion topics in the development of educational modules for data science and machine learning for adolescents and adolescents is presented.	de
dc.language	ru	de
dc.subject.ddc	Bildung und Erziehung	de
dc.subject.ddc	Education	en
dc.subject.other	data science; machine learning; educational programs; data literacy; data analysis; artificial Intelligence; general education; vocational guidance; additional education; computer science; STEM; social science	de
dc.title	Дата-грамостность и наука о данных: Образовательные подходы и решения	de
dc.title.alternative	Data-gravity and Data Science: Educational Approaches and Solutions	de
dc.description.review	begutachtet	de
dc.description.review	reviewed	en
dc.publisher.country	RUS	de
dc.publisher.city	Moscow	de
dc.subject.classoz	Basic Research, General Concepts and History of Education and Pedagogics	en
dc.subject.classoz	Allgemeines, spezielle Theorien und Schulen, Methoden, Entwicklung und Geschichte der Erziehungswissenschaft	de
dc.identifier.urn	urn:nbn:de:0168-ssoar-83009-0
dc.rights.licence	Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0	en
dc.rights.licence	Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0	de
internal.status	formal und inhaltlich fertig erschlossen	de
dc.type.stock	monograph	de
dc.type.document	Arbeitspapier	de
dc.type.document	working paper	en
dc.source.pageinfo	28	de
internal.identifier.classoz	10601
internal.identifier.document	3
dc.contributor.corporateeditor	Russian Presidential Academy of National Economy and Public Administration (RANEPA), Federal State Budgetary Educational Institution of Higher Education
internal.identifier.corporateeditor	1313
internal.identifier.ddc	370
dc.description.pubstatus	Preprint	de
dc.description.pubstatus	Preprint	en
internal.identifier.licence	20
internal.identifier.pubstatus	3
internal.identifier.review	2
dc.subject.classhort	10600	de
internal.pdf.wellformed	true
internal.pdf.encrypted	false

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Allgemeines, spezielle Theorien und "Schulen", Methoden, Entwicklung und Geschichte der Erziehungswissenschaft
Basic Research, General Concepts and History of Education and Pedagogics

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Дата-грамостность и наука о данных: Образовательные подходы и решения

Data-gravity and Data Science: Educational Approaches and Solutions [Arbeitspapier]

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Data-gravity and Data Science: Educational Approaches and Solutions
[Arbeitspapier]