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Case ReportPublished research proposalJun. 23, 2025
AAB-CASE-2025-RV-038

Taking the Magic Out of the Machine: Children as Creators of Real-World AI-Powered Tools for Education

Doctoral consortium vision merging PD learning and product outcomes.

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 of Edinburgh

02

Learning context

In-school (K–12)

03

AI role

Co-creator

04

Outcome signal

Agency

Registry Facets

0
Education Level
  • 6-8
Subject Area
  • Participatory design
  • AI education
Use Case Type
  • Research design
Stakeholder Group
  • Students
  • Researchers
AI Capability Type
  • Applied AI
Implementation Model
  • Classroom-level
Evidence Type
  • Position paper
Outcomes Domain
  • Agency

Implementing Organization

1
Organization Type

University of Edinburgh

Location

United Kingdom

Primary Facilitator Role

Doctoral researcher

Learning Context

2
Setting Type
  • In-school (K–12)
Session Format

Planned extended co-creation-to-deployment curriculum

Duration

Multi-stage

Group Size

Ages 11–13 cohorts

Devices

School-deployable AI tool (planned)

Constraints
  • Production engineering load
  • Safeguarding live AI
  • Sustainability post-project

Learner Profile

3
Age Range

11–13

Prior AI Exposure Assumed

Mixed

Prior Programming Background Assumed

Scaffolded progression

Educational Intent

4
Primary Learning Goals
  • Treat children as creators of EdAI
  • Merge material and learning PD goals
Secondary Learning Goals
  • Catalog obstacles to real deployment
What This Was Not
  • Not completed outcomes study in this paper

AI Tool Description

5
Tool Type

Co-created educational AI application

AI Role
  • Co-creator
Languages

UK

User Interaction Model
  • Students across lifecycle with adult partners
Safeguards
  • Data governance
  • Maintenance plan
  • Credit for youth labor

Activity Design

6
Activity Flow
  • Critique binary PD modes
  • Propose merged pipeline
  • Anticipate evaluation
Human Vs AI Responsibilities
  • Professionals ensure safety of shipped AI
Scaffolding Strategies
  • Modular tasks by skill

Observed Challenges

7
Educators Reported
  • Rare successful child-led production EdAI
  • Tokenization risks

Design Adaptations

8
Adaptations
  • Explicit merger of participatory telos

Reported Outcomes

9
Engagement
  • Ambitious authentic agency agenda
Learning Signals
    Educators Reflection

    Future empirical work expected.

    Ethical & Privacy Considerations

    10
    Privacy
    • IRB for systems affecting peers
    • IP of child contributions

    Evidence Type

    11
    Evidence
    • Activity documentation

    Relevance to Research

    12
    Potential Research Use
    • Execute longitudinal evaluation
    • Compare PD modes
    Relevant Research Domains
    • Participatory design
    • EdTech

    Case Status

    13
    Case Status
    • Completed

    AAB Classification Tags

    14
    Age

    11–13

    Setting

    UK schools

    AI Function

    Build EdAI

    Pedagogy

    Co-creation

    Risk Level

    High

    Data Sensitivity

    High

    Registry Metadata

    15
    Case ID
    AAB-CASE-2025-RV-038
    Publication Status
    Published research proposal
    Tags
    case6-8United KingdomClassroom-levelApplied AIParticipatory designAI educationResearch design