تقرير
Дата-грамостность и наука о данных: Образовательные подходы и решения
| العنوان: | Дата-грамостность и наука о данных: Образовательные подходы и решения |
|---|---|
| المؤلفون: | Deryabin, Andrey, Popov, Alexandr, Gluhov, Pavel |
| المساهمون: | Russian Presidential Academy of National Economy and Public Administration (RANEPA), Federal State Budgetary Educational Institution of Higher Education |
| المصدر: | 28 |
| بيانات النشر: | RUS, Moscow, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Bildung und Erziehung, Education, data science, machine learning, educational programs, data literacy, data analysis, artificial Intelligence, general education, vocational guidance, additional education, computer science, STEM, social science, Basic Research, General Concepts and History of Education and Pedagogics, Allgemeines, spezielle Theorien und Schulen, Methoden, Entwicklung und Geschichte der Erziehungswissenschaft, 10600 |
| الوصف: | 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. |
| Original Identifier: | urn:nbn:de:0168-ssoar-83009-0 |
| نوع الوثيقة: | Arbeitspapier working paper |
| URL الوصول: | https://www.ssoar.info/ssoar/handle/document/83009 |
| حقوق: | Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0 Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0 |
| رقم الأكسشن: | edsgso.83009 |
| قاعدة البيانات: | SSOAR – Social Science Open Access Repository |
| الوصف غير متاح. |