Parental adjustment to AI learning tools during the preschool-to-primary transition: a qualitative study in China

Editorial reading guide · Collaboration

How can we revisit an AI learning routine together when school and family demands change?

Describes how family use changed across a demanding school transition: mothers reported moving from frequent preschool AI-app use toward conditional, more selective use in first grade. Their accounts connected changing expectations, school and peer pressure, emotional fatigue, and the effort of fitting tools into family routines. This is evidence about parental adjustment, not evidence that an AI app improved school readiness.

Study context

25 mothers who were primary caregivers of first-graders in public schools in Changchun, Jilin, China

Age / stage: First grade, with mothers recalling the preceding preschool period

Read with three questions

1. Why did mothers shift from valuing efficiency toward judging whether an app fitted the child and family?
2. Which school expectations and comparisons with other families increased pressure to use AI?
3. What signs of overload or loss of shared enjoyment would justify changing our own routine?

Keep the limits in view

The single-city, all-mother volunteer sample and retrospective telephone interviews limit transfer. Reported frequency changes were not independently logged, children were not interviewed, and the study did not measure learning or establish that AI caused fatigue. The particular learning-app functions were reported by parents rather than technically audited.