Using "Deep Learning School" with Digital Technologies in Science and Technology

Autor/inn/en	Kurbanova, Aislu T.; Yarovikov, Yuri N.
Titel	Using "Deep Learning School" with Digital Technologies in Science and Technology
Quelle	In: EURASIA Journal of Mathematics, Science and Technology Education, 17 (2021) 10, (9 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1305-8223
Schlagwörter	Educational Technology; Career Guidance; Self Determination; Electronic Learning; College Students; Educational Objectives; Socialization; Academically Gifted; Blended Learning; Student Satisfaction + Suchen Sie Ihr Suchwort? Unterrichtsmedien; Berufsorientierung; Selbstbestimmung; Collegestudent; Educational objective; Bildungsziel; Erziehungsziel; Socialisation; Sozialisation
Abstract	A digital technology of education and career guidance was created within the open free resource "Deep Learning School" (DLS). ?he mission of DLS is recruiting and education of talented youth in the field of IT research and development. DLS technology assumes the possibility of online training; in the absence of pandemic-related restrictions, a mixed format is available. The principles of DLS as an educational technology and a technology for professional self-determination of various contingents of young people are described. Empirical material - the results of an anonymous online survey of 145 DLS listeners - specialists, undergraduate and graduate students, applicants. A qualitative analysis of open-ended questions revealed the functions of DLS, which concretize its mission as an educational technology and a technology of professional self-determination. The possibilities of online and offline components of the technology are concretized to achieve actually didactic, educational goals, goals of socialization and facilitation of professional self-determination; revealed the specificity of their use by various contingents of students. The high efficiency of the technology for recruiting talented young people with high motivation to get education and work in the field of machine intelligence is shown. The research results can be used by specialists to improve the efficiency of digital educational resources and improve the practice of career management. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01