Peer-reviewed article
Digital Exposure, Inequalities and Early Learning Outcomes: Insights From England in International Early Learning and Child Well‐Being Study ( IELS )
Nadia Siddiqui, Yi Feng ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This study examined whether computer and tablet use affects early literacy and numeracy skills in five-year-old English children. Using data from 2,577 children, researchers measured cognitive skills and family background information, then used statistical models to identify what predicts learning outcomes. Socio-economic status, age, and special educational needs were the strongest predictors of both literacy and numeracy, while frequency of device use added very little to explaining differences in learning once other factors were accounted for. The findings suggest that early learning inequalities come mainly from family circumstances and developmental factors rather than from how much children use digital devices.
Key points
- SES, age and special educational needs status were the strongest predictors of literacy and numeracy outcomes
- Computer/tablet use frequency added minimal explanatory power beyond socio-economic and developmental factors
- Early learning inequalities are primarily driven by socio-economic and developmental factors rather than digital device use
- Study controlled for sex, immigrant background, home language, parental involvement and family structure
- Analysis included 2,577 children assessed on standardised cognitive measures
Limitations
This is an observational study based on parent-reported device use frequency and cross-sectional data, so it cannot establish causation or show whether device use changes over time. The study cannot explain the mechanisms through which socio-economic factors affect learning, nor can it distinguish between different types of digital content or quality of engagement with devices.
Abstract
ABSTRACT This study explores the link between computer/tablet use frequency and emergent literacy and numeracy among five‐year‐olds, using data from the 2018 England sample of the International Early Learning and Child Well‐being Study (IELS). The analysis includes 2577 children assessed on standardised cognitive measures, alongside parent‐reported early life and family background information. Linear regression models predicted literacy and numeracy outcomes, controlling for sex, age, immigrant background, socio‐economic status (SES), special educational needs (SEN), home language, parental involvement and family structure. Results indicate SES, age and SEN status were the strongest predictors of both literacy and numeracy. In contrast, computer/tablet use frequency added minimal explanatory power once these factors were considered. Findings suggest early learning inequalities are primarily driven by socio‐economic and developmental factors rather than digital device use.