年轻人的数字成熟度——通过使用机器学习方法,揭示核心维度与国家背景作为外部因素之间的依赖关系

IF 5.8 Q1 PSYCHOLOGY, EXPERIMENTAL
Rikke Nyland Christensen , Aqib Siddiqui , Konstantina Valogianni , Arnd Florack , Marco Hubert
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引用次数: 0

摘要

近年来,人们对确定何为有益使用信息通信技术的兴趣日益浓厚,尤其关注年轻人及其数字成熟度。为了设计有效的干预措施,促进年轻人有益的数字参与,了解核心能力与数字成熟度之间的相互依存关系至关重要。此外,诸如国家背景等外部因素可能如何影响总体指数得分的建立。因此,本文着手验证数字成熟度指数,确定最重要的维度,并探讨测量框架是否可以独立于国家背景。为此,我们收集了五个欧洲国家(AT、DE、GRE、SLO、DK)从2021年到2022年的多轮数据(N = 2804),并使用一种新颖的机器学习方法进行了探索。我们得出结论,数字成熟度维度需要进一步深入调查,因为一些维度在研究的背景和内容方面受到更多的波动。此外,国家背景不仅在年轻人使用信息通信技术方面发挥着关键作用,而且在他们的数字成熟度发展方面也发挥着关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital maturity of young people – unfolding dependencies between core dimensions and national context as external factor by using a machine-learning approach
In 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.
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CiteScore
7.80
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