Terminological discussion in modern psychology on the phenomenon of "digital Generation Z"

Background. In the mid-20th century, the widespread information technology revolution led to the appearance of numerous studies into the emerging phenomenon of "digital generation". The scientific literature presents many variations that define and name the subjects living in the described...

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Bibliographic Details
Main Authors: Maria I. Ryzhkova, Lidia S. Rychkova
Format: Article
Language:English
Published: Science and Innovation Center Publishing House 2025-02-01
Series:Russian Journal of Education and Psychology
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Online Access:https://rjep.ru/jour/index.php/rjep/article/view/780
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Summary:Background. In the mid-20th century, the widespread information technology revolution led to the appearance of numerous studies into the emerging phenomenon of "digital generation". The scientific literature presents many variations that define and name the subjects living in the described period of time in different ways. Different views on the definition of this generation among foreign and domestic scientists indicate the ambiguity of understanding and the complexity of this phenomenon. Aim. The article aims to explore the conceptual field of the phenomenon of “digital generation" and highlight the key characteristics inherent in the generation. Materials and methods. The methodological basis of the study is framed by comparative analysis, synthesis, and generalization of scientific papers on the research problem. Results. The analysis of professional literature allowed the authors to interpret the existing terms and identify six groups of terms with the key characteristics of the "digital generation Z": "Having an online identity"; "Technologically advanced"; "Generation of unlimited access to information"; "Motivated to frequent refocusing"; "Constantly Internet-connected"; "Homebodies". The ability of university lecturers to know and understand the characteristics of generation Z students is becoming a certain key to achieving effective learning. EDN: ZUFDOO
ISSN:2658-4034
2782-3563