Families’ discursive practices in data discussions about migration histories

Datos Bibliográficos

ID11273296
AutoresDaryl Axelrod (0000-0002-9840-8711, FIU Embrace, Florida International University, autor de correspondencia), Jennifer Kahn (0000-0002-0539-0381, University of Miami)
Año2023
Volumen60
Número6
Páginas457-477
Fecha de publicación2023-07-03
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaDiscourse Processes (JOURNAL)
Identificadores de la revistaISSN: 0163-853X • E-ISSN: 1532-6950
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0163853x.2023.2225981
OpenAlexW4383341836
IdiomaEN
Citas recibidas1
Referencias citadas36

Large-scale data and data visualizations are ubiquitous now in the stories that shape our society. In particular, these stories influence youth and families’ communication and understanding of scientific, social, and personal issues. Consequently, we need to better understand how youth and families can engage and learn with the tools that generate such narratives. This study reports on a qualitative analysis of 13 data discussions with families that used data visualization tools to explore georeferenced data connected to their family migration histories. We developed the Co-Construct, Situate, Advance a Theory (CSAT) model, from family cases, which details the discursive and interactional processes by which families tell personal stories grounded in data displays. Extending earlier studies of storytelling as theory-building in family conversations, our model provides an understanding of families’ discursive practices around data exploration. We discuss implications for family learning with data technologies

Construct (python library · Data science · Data visualization · Discourse analysis · Grounded theory · Linguistics · Narrative · Qualitative property · Qualitative research · Social science · Sociology · Storytelling · Visualization · Child Development and Digital Technology · Computer Science · Educational Tools and Methods · ICT in Developing Communities