Child, Family & Development / Education and Schooling
SUB-T02-025Classroom AI Integration
Definition
Classroom AI Integration is the systematic study and design of conditions, interventions and safeguards affecting children or families within education and schooling.
Why this matters
Children have evolving capabilities and limited power over many systems affecting them. Errors in classroom ai integration can create developmental, relational, educational, health or safety consequences that persist.
Research questions
Which classroom uses of AI improve learning while preserving teacher agency, peer interaction and independent work?
Hypotheses
Teacher-orchestrated AI used at defined learning stages will outperform unrestricted individual use.
Proposed methods
classroom observation, teacher and student co-design, cluster trials, learning analytics, assessment moderation, accessibility testing and implementation evaluation; adapted specifically to Classroom AI Integration; child-appropriate participatory methods; caregiver and practitioner input; age-stratified analysis; validated developmental measures; service-pathway testing; safeguarding review; delayed or longitudinal follow-up; implementation-fidelity assessment
Stakeholders and beneficiaries
students; teachers; principals; parents; school counsellors; education departments; unions; assessment authorities; edtech providers; classroom ai integration specialists; lived-experience family advisory panel; independent child-rights reviewer