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Case ReportPublished qualitative studyOct. 28, 2025
AAB-CASE-2025-RV-043

Building AI Literacy at Home: How Families Navigate Children’s Self-Directed Learning with AI

Multi-university US HCI preprint on GenAI and SDL at home.

This page documents an AI literacy or AI education case for registry purposes. It is descriptive and does not imply AAB endorsement of any specific tool, provider, or intervention.
01

Implementation

Multi-university HCI collaboration

02

Learning context

Informal learning

03

AI role

Tutor

04

Outcome signal

Home learning

Registry Facets

0
Education Level
  • K-5
  • 6-8
Subject Area
  • AI literacy
  • Parenting
Use Case Type
  • Qualitative research
Stakeholder Group
  • Parents
  • Students
AI Capability Type
  • Generative AI
Implementation Model
  • Informal learning
Evidence Type
  • Interviews
Outcomes Domain
  • Home learning
  • Mediation strategies

Implementing Organization

1
Organization Type

Multi-university HCI collaboration

Location

United States

Primary Facilitator Role

Researchers

Learning Context

2
Setting Type
  • Informal learning
Session Format

Parent–child pair focus groups

Duration

Qualitative study

Group Size

13 pairs

Devices

GenAI tools for homework/interest learning

Constraints
  • Convenience sample
  • Self-report
  • Cultural specificity

Learner Profile

3
Age Range

7–13 with parents

Prior AI Exposure Assumed

Rising ChatGPT-era use

Prior Programming Background Assumed

Not emphasized

Educational Intent

4
Primary Learning Goals
  • Describe phased pathways of child GenAI use
  • Catalog parent mediation strategies
  • Define parental role in SDL with AI
Secondary Learning Goals
  • Design implications for child-friendly AI
  • Highlight critical literacy gaps
What This Was Not
  • Not school intervention RCT

AI Tool Description

5
Tool Type

Consumer GenAI assistants

AI Role
  • Tutor
  • Co-creator
Languages

US

User Interaction Model
  • Parents co-learn and monitor
  • Children pursue SDL goals
Safeguards
  • Hallucination/over-reliance risks
  • Mental health and parasocial concerns
  • Privacy literacy gaps

Activity Design

6
Activity Flow
  • Recruit pairs
  • Focus groups
  • Thematic analysis on SDL
Human Vs AI Responsibilities
  • Parents mediate until child judgment matures
Scaffolding Strategies
  • Joint exploration when parents lack expertise

Observed Challenges

7
Educators Reported
  • Parents under-attend non-educational risks
  • Privacy/infrastructure blind spots
  • Tension practical vs critical literacies

Design Adaptations

8
Adaptations
  • SDL framing for middle childhood GenAI—a gap vs younger/older work

Reported Outcomes

9
Engagement
  • Rich family dynamics surfaced
Learning Signals
  • Co-learning compensates for parent AI knowledge gaps
Educators Reflection

Design cues for adaptive parental controls and formative scaffolding.

Ethical & Privacy Considerations

10
Privacy
  • Sensitive child mental health references
  • Data from family discussions
  • Avoid blame on parents

Evidence Type

11
Evidence
  • Activity documentation
  • Practitioner observation

Relevance to Research

12
Potential Research Use
  • Longitudinal home studies
  • Interventions teaching critical GenAI literacy to parents
Relevant Research Domains
  • Family HCI
  • SDL
  • AI literacy

Case Status

13
Case Status
  • Completed

AAB Classification Tags

14
Age

7–13

Setting

Home

AI Function

GenAI SDL

Pedagogy

Parent mediation

Risk Level

Medium

Data Sensitivity

High

Registry Metadata

15
Case ID
AAB-CASE-2025-RV-043
Publication Status
Published qualitative study
Tags
caseK-5United StatesInformal learningGenerative AIAI literacyParentingQualitative research