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Case ReportPublished quantitative study2025
AAB-CASE-2025-RV-048

AI literacy, educational level, and parenting self-efficacy of children’s education among parents of primary school students

EdUHK; mediation model for parenting self-efficacy.

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

University (Education University of Hong Kong)

02

Learning context

Informal learning

03

AI role

Tutor

04

Outcome signal

Self-efficacy

Registry Facets

0
Education Level
  • K-5
Subject Area
  • AI literacy
  • Parenting
Use Case Type
  • Survey research
Stakeholder Group
  • Parents
AI Capability Type
  • Broad
Implementation Model
  • Informal learning
Evidence Type
  • Pre/post
Outcomes Domain
  • Self-efficacy
  • Equity

Implementing Organization

1
Organization Type

University (Education University of Hong Kong)

Location

Hong Kong SAR, China

Primary Facilitator Role

Researchers

Learning Context

2
Setting Type
  • Informal learning
Session Format

Online questionnaire

Duration

Cross-sectional

Group Size

160 parents

Devices

Survey (AI in children’s learning context)

Constraints
  • Single region
  • Self-report

Learner Profile

3
Age Range

Parents of primary pupils

Prior AI Exposure Assumed

Early AI exposure in learning

Prior Programming Background Assumed

Varies

Educational Intent

4
Primary Learning Goals
  • Test links among AI literacy, education level, parenting self-efficacy
Secondary Learning Goals
  • Inform interventions to raise parent AI literacy
What This Was Not
  • Not a parent training RCT

AI Tool Description

5
Tool Type

N/A (constructs measured, not one product)

AI Role
  • Tutor
Languages

Hong Kong context

User Interaction Model
    Safeguards
    • Ethical survey design
    • Avoid deficit framing of lower-education parents

    Activity Design

    6
    Activity Flow
    • Survey administration
    • SEM/mediation analysis
    Human Vs AI Responsibilities
      Scaffolding Strategies

        Observed Challenges

        7
        Educators Reported
        • Gap on AI literacy as parenting resource prior to this work

        Design Adaptations

        8
        Adaptations
        • Positions AI literacy in family–school support theory

        Reported Outcomes

        9
        Engagement
          Learning Signals
          • Significant associations; partial mediation paths
          Educators Reflection

          Supports parent-facing AI literacy programs.

          Ethical & Privacy Considerations

          10
          Privacy
          • Anonymity
          • Sensitive family data

          Evidence Type

          11
          Evidence
          • Post assessment
          • Practitioner observation

          Relevance to Research

          12
          Potential Research Use
          • Longitudinal parent programs with outcome measures
          • Cross-cultural replication
          Relevant Research Domains
          • Parenting self-efficacy
          • Primary AI literacy

          Case Status

          13
          Case Status
          • Completed

          AAB Classification Tags

          14
          Age

          Parents

          Setting

          Hong Kong

          AI Function

          Literacy correlates

          Pedagogy

          Survey

          Risk Level

          Low

          Data Sensitivity

          Medium

          Registry Metadata

          15
          Case ID
          AAB-CASE-2025-RV-048
          Publication Status
          Published quantitative study
          Tags
          caseK-5Hong Kong SAR, ChinaInformal learningBroadAI literacyParentingSurvey research