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Case ReportPublished participatory researchSep. 2025
AAB-CASE-2025-RV-040

Secondary Students as Co-Researchers on Generative AI in Learning: Empowering Youth to Shape National Education Policy

UKICER 2025 Scotland YPCR project.

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 + SQA + schools

02

Learning context

In-school (K–12)

03

AI role

Co-creator

04

Outcome signal

Student voice

Registry Facets

0
Education Level
  • 9-12
Subject Area
  • Policy
  • AI literacy
Use Case Type
  • Participatory research
Stakeholder Group
  • Students
  • Policymakers
AI Capability Type
  • Generative AI
Implementation Model
  • System-level guidance
Evidence Type
  • Qualitative
Outcomes Domain
  • Student voice

Implementing Organization

1
Organization Type

University + SQA + schools

Location

Scotland, UK

Primary Facilitator Role

Adult mentors + YPCR leads

Learning Context

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

Youth-led focus groups + joint analysis

Duration

Project cycle

Group Size

8 YPCR, 50 peers

Devices

GenAI as policy topic

Constraints
  • Regional
  • Self-selected youth

Learner Profile

3
Age Range

16–18 + peers

Prior AI Exposure Assumed

High GenAI experimentation

Prior Programming Background Assumed

Varies

Educational Intent

4
Primary Learning Goals
  • Youth as co-researchers
  • Map peer norms on GenAI
  • Inform national policy
Secondary Learning Goals
  • Model participatory governance
What This Was Not
  • Not census

AI Tool Description

5
Tool Type

GenAI in schools (discourse)

AI Role
  • Co-creator
Languages

Scotland

User Interaction Model
  • Peer-led discussion
Safeguards
  • Anonymize peers
  • Credit youth
  • Safe facilitation on cheating topics

Activity Design

6
Activity Flow
  • Train YPCR
  • Run groups
  • Analyze
Human Vs AI Responsibilities
  • Youth voice drives themes
Scaffolding Strategies
  • Mentored youth leadership

Observed Challenges

7
Educators Reported
  • Policy confusion
  • Ban vs integrate tension

Design Adaptations

8
Adaptations
  • SQA partnership pathway

Reported Outcomes

9
Engagement
  • Authentic peer-led data
Learning Signals
  • Cautious optimism; want teaching not only rules
Educators Reflection

Youth-informed GenAI policy model.

Ethical & Privacy Considerations

10
Privacy
  • Focus group ethics
  • Safeguarding

Evidence Type

11
Evidence
  • Activity documentation
  • Practitioner observation

Relevance to Research

12
Potential Research Use
  • Institutionalize YPCR
  • Track policy uptake
Relevant Research Domains
  • Student voice
  • GenAI policy

Case Status

13
Case Status
  • Completed

AAB Classification Tags

14
Age

Secondary

Setting

Scotland

AI Function

Policy discourse

Pedagogy

Participatory

Risk Level

Medium

Data Sensitivity

Medium

Registry Metadata

15
Case ID
AAB-CASE-2025-RV-040
Publication Status
Published participatory research
Tags
case9-12Scotland, UKSystem-level guidanceGenerative AIPolicyAI literacyParticipatory research