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Competences of the Future—How to Educate the iGen Generation

Bibliographic Data

ID22046168
AuthorsAnna Waligóra (0000-0002-5543-7010, Silesian University of Technology), Marcin Górski (0000-0001-7028-924X, Silesian University of Technology, corresponding author)
Year2025
Volume15
Issue5
Pages621
Publication date2025-05-19
Open AccessYes
TypeARTICLE
VenueEducation Sciences (JOURNAL)
Journal identifiersISSN: 2227-7102 • E-ISSN: 2227-7102
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/educsci15050621
OpenAlexW4410523892
LanguageEN
References cited4

This article presents the results of a study conducted in the area of qualitative social research in relation to the interpretative paradigm, as well as a review of research concerning the specificity and characteristics of the functioning of representatives of Generation Z (Zoomers, GenZ) and Generation Alpha. The aim of the present research was to assess the opinions of university teachers regarding the functioning of the iGen generation and the challenges of educating students representing Generation Z. In this research, a focus interview method was used. Interviews were conducted over a period of 6 months, with a total research sample [N = 150] of university teachers. Sociological, pedagogical and psychological analyses indicate different functioning of the young iGen generation in the context of social relations, learning and communication processes in relation to previous generations. These differences affect the educational process—the transmission of knowledge and the relationship of teachers with students. An analysis of the research results allowed for the proposal of exemplary educational solutions such as the competence-based education (CBE) model, as well as problem- and project-oriented learning (PBL) methods. The conclusions led to the design of practical guidelines that could be implemented in the process of educating students and, at the same time, preparing young people for the changing needs of the labour market

Mathematics education · Business Strategies and Innovation · Computer Science · Information Society and Technology Trends · Psychology · Technology Adoption and User Behaviour

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Highly citedNo

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