Digital maturity of young people – unfolding dependencies between core dimensions and national context as external factor by using a machine-learning approach

dc.contributor.authorChristensen, Rikke Nyland
dc.contributor.authorSiddiqui, Aqib
dc.contributor.authorValogianni, Konstantina
dc.contributor.authorFlorack, Arnd
dc.contributor.authorHubert, Marco
dc.contributor.funderEuropean Union’s Horizon 2020
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2026-03-09T09:54:09Z
dc.date.issued2025-08
dc.description.abstractIn recent years, the interest in determining what constitutes a beneficial use of information and communication technologies (ICTs) has increased, especially with a focus on young people and their digital maturity. To design effective interventions for promoting beneficial digital engagement among young people, it is crucial to understand the interdependency between the core capabilities and digital maturity. Furthermore, how external factors, such as national context, might influence the establishment of an overall index score. Therefore, this paper sets out to validate the digital maturity index and determine the most important dimensions as well as explore if the measurement framework can be considered independent from national context. To do this, we collected data across multiple rounds from 2021 to 2022 (N = 2804) in five European countries (AT, DE, GRE, SLO, DK) and explored it using a novel machine learning approach. We conclude that digital maturity dimensions need further in-depth investigation as some dimensions are subject to more volatility with regard to the context and content of the study. Furthermore, national context plays a crucial role in not only young people's use of ICTs but also in their development of digital maturity.
dc.description.peerreviewedYes
dc.description.sponsorshipThe work presented here has been developed in the context of the Digymatex project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870578.
dc.description.statusPublished
dc.formatapplication/pdf
dc.identifier.citationChristensen, R. N., Siddiqui, A., Valogianni, K., Florack, A., & Hubert, M. (2025). Digital Maturity of Young People–Unfolding Dependencies between Core Dimensions and National Context as External Factor by Using a Machine-Learning Approach. Computers in Human Behavior Reports, 100778.
dc.identifier.doihttps://doi.org/10.1016/j.chbr.2025.100778
dc.identifier.issn2451-9588
dc.identifier.officialurlhttps://www.sciencedirect.com/science/article/pii/S2451958825001939
dc.identifier.urihttps://hdl.handle.net/20.500.14417/4240
dc.journal.titleComputers in Human Behavior Reports
dc.language.isoeng
dc.page.total12
dc.publisherElsevier
dc.relation.departmentInformation Systems & Technology
dc.relation.entityIE University
dc.relation.projectid870578
dc.relation.schoolIE Business School
dc.rightsAttribution 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.keywordsICTs
dc.subject.keywordsDigital maturity
dc.subject.keywordsComposite index
dc.subject.keywordsChildren’s digital maturity
dc.subject.odsODS 3 - Salud y bienestar
dc.subject.odsODS 10 - Reducción de las desigualdades
dc.subject.unesco58 Pedagogía::5802 Organización y planificación de la educación
dc.titleDigital maturity of young people – unfolding dependencies between core dimensions and national context as external factor by using a machine-learning approach
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dc.volume.number19
dspace.entity.typePublication
relation.isAuthorOfPublication176a05d2-7442-4e6e-a6da-dcf2f9063787
relation.isAuthorOfPublication.latestForDiscovery176a05d2-7442-4e6e-a6da-dcf2f9063787

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