A conceptual framework for analyzing child well-being in the digital age based on panel data across Europe (Di-C-WELL).
https://nbn-resolving.org/urn:nbn:de:0111-pedocs-349272![]()
The development and upbringing of children have been significantly transformed by ongoing digitalization (the process of introducing the use of digital technologies to change how things are done) and digitality (how digital technologies shape experiences and culture;), including both risks and opportunities for children's health and well-being. However, understanding child development and well-being across Europe is hindered by a lack of comparable longitudinal data across countries. This paper introduces a conceptual framework (Di-C-Well) to be used to guide future panel research on child well-being in the digital era. The Di-C-Well conceptual framework integrates key aspects of different theoretical models to reflect the multidisciplinarity of the project, combining elements from psychological, sociological, educational, and economic theory to integrate multiple levels of analysis, and to foster examination of the development of child well-being and the mechanisms of impact across interpersonal contexts, including family (e.g., parents and siblings), peer relations, institutional (e.g., learning), and further environments (e.g., neighborhood, region). The framework is intended as a theoretically grounded starting point to analyze child well-being in the digital era, and highlights opportunities for coordinated, cross-country research using harmonized measures and study designs. New data infrastructures emphasizing children and adolescents are needed across all European countries to realize these goals. (DIPF/Orig.)
Schlagwörter
Bildungsforschung, Kinder- und Jugendforschung, Kind, Digitale Medien, Digitalisierung, Entwicklung, Wohlbefinden, Gesundheit, Daten, Interdisziplinarität, Psychologie, Soziologie, Erziehungswissenschaft, Ökonomie, Sozialraum, Familie, Peer-Beziehungen, Institution, Nachbarschaft, Region, Konzept, Theoretisches Modell, Panel, Mehrebenenanalyse, Längsschnittuntersuchung, Vergleichende Forschung, Empirische Forschung, Europa,
| Sprache | englisch |
|---|---|
| Dokumenttyp | Monographie |
| URN |
urn:nbn:de:0111-pedocs-349272 |