How parents read young learners’ digital engagement: a posthumanist inquiry into the temporality of co-evolving learning practices in AI game space

Much research on children's digital gameplay focuses on measuring detrimental effects, excluding more complex relational dynamics of family literacy practices. Approaches that focus on how families adapt available resources in novel and resilient ways to suit their own socio-cultural aspirations are under-utilised. We partnered with game developers to investigate how parents view emerging AI capacity within games for young children, particularly the degree to which technology increasingly constructs a digital self of users. A story-based learning game with machine learning capacity that adapts to children’s skills and interests was trialled with eleven families. Observations, focus groups and exit survey gave important. insight into the ways families adapt traditional literacy practices in game space, and their understanding of AI developments including the tensions they felt between concerns about surveillance, on the one hand, and their desire that children not miss out or fall behind their peers’ developing digital literacy.

Authors

Institutions

Publication Details

Journal
Early Years Journal of International Research and Development
Published
2025-10-18
DOI
https://doi.org/10.1080/09575146.2025.2565368
Citations
1
Primary Topic
Child Development and Digital Technology
Type
article
Field-Weighted Citation Impact
8.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How parents read young learners’ digital engagement: a posthumanist inquiry into the temporality of co-evolving learning practices in AI game space

Beth Cross, Jingyang Ai, Thomas Hainey, Cornelia Gollek
1 citations
Early Years Journal of International Research and Development
Child Development and Digital Technology
8.93
article

How parents read young learners’ digital engagement: a posthumanist inquiry into the temporality of co-evolving learning practices in AI game space

Beth Cross, Jingyang Ai, Thomas Hainey, Cornelia Gollek
article en
1 citations

Abstract

Much research on children's digital gameplay focuses on measuring detrimental effects, excluding more complex relational dynamics of family literacy practices. Approaches that focus on how families adapt available resources in novel and resilient ways to suit their own socio-cultural aspirations are under-utilised. We partnered with game developers to investigate how parents view emerging AI capacity within games for young children, particularly the degree to which technology increasingly constructs a digital self of users. A story-based learning game with machine learning capacity that adapts to children’s skills and interests was trialled with eleven families. Observations, focus groups and exit survey gave important. insight into the ways families adapt traditional literacy practices in game space, and their understanding of AI developments including the tensions they felt between concerns about surveillance, on the one hand, and their desire that children not miss out or fall behind their peers’ developing digital literacy.

Early Years Journal of International Research and Development
Greenwich University (PK), University of the West of Scotland (GB)
Openalex Percentile: Top 3%
Child Development and Digital Technology
8.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.