Case ReportPublished empirical studyJun. 23–26, 2025
AAB-CASE-2025-RV-047
Empowering Children’s AI Literacy Through Co-Creating Stories with LLM
ACM IDC ’25; USC / UCI; AIStoryBot narrative co-creation.
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
Universities
02
Learning context
Informal learning
03
AI role
Co-creator
04
Outcome signal
Engagement
Registry Facets
0
Education Level
- K-5
- 6-8
Subject Area
- AI literacy
- Language arts
Use Case Type
- Design research
- Pilot
Stakeholder Group
- Students
AI Capability Type
- LLM/Chat
- Generative AI
Implementation Model
- Informal learning
Evidence Type
- Pre/post
- Qualitative
Outcomes Domain
- Engagement
- Self-efficacy
Implementing Organization
1
Organization Type
Universities
Location
USA (California)
Primary Facilitator Role
Researchers
Learning Context
2
Setting Type
- Informal learning
- Private program
Session Format
Interactive storytelling with LLM
Duration
Study window per paper
Group Size
12 students (ages 8–14)
Devices
AIStoryBot platform
Constraints
- Small n
- Agency and exploration limits noted
Learner Profile
3
Age Range
8–14
Prior AI Exposure Assumed
Increasing GenAI exposure
Prior Programming Background Assumed
Not required
Educational Intent
4
Primary Learning Goals
- Foster AI literacy through collaborative story creation
- Examine narrative-based motivation and efficacy
Secondary Learning Goals
- Inform design of student-centered GenAI learning tools
What This Was Not
- Not large-scale deployment evaluation
AI Tool Description
5
Tool Type
LLM-based interactive storytelling (AIStoryBot)
AI Role
- Co-creator
- Tutor
Languages
English
User Interaction Model
- Students co-create stories with model assistance
Safeguards
- Child-appropriate content
- Transparency about AI limits
Activity Design
6
Activity Flow
- Pre-survey
- Story co-creation sessions
- Post-survey and interviews
Human Vs AI Responsibilities
- Facilitators guide; model generates text
Scaffolding Strategies
- Narrative framing to build confidence
Observed Challenges
7
Educators Reported
- Students want more hands-on ties to real-world AI
- Depth of understanding of how models work
Design Adaptations
8
Adaptations
- Design for longer exploratory tasks
- Strengthen learner agency in prompts and editing
Reported Outcomes
9
Engagement
- Constructive student–AI interactions reported
Learning Signals
- Increased perceived motivation and AI efficacy
Educators Reflection
Supports narrative GenAI for novice AI literacy.
Ethical & Privacy Considerations
10
Privacy
- Child study consent
- Content moderation
- Data from minors
Evidence Type
11
Evidence
- Post assessment
- Activity documentation
- Practitioner observation
Relevance to Research
12
Potential Research Use
- Larger samples and learning outcome measures
- Compare scaffolding strategies across ages
Relevant Research Domains
- IDC
- GenAI literacy
- Interactive storytelling
Case Status
13
Case Status
- Completed
AAB Classification Tags
14
Age
8–14
Setting
Research sessions
AI Function
Co-creative writing
Pedagogy
Narrative inquiry
Risk Level
Medium
Data Sensitivity
Medium
Registry Metadata
15
Case ID
AAB-CASE-2025-RV-047
Publication Status
Published empirical study
Tags
caseK-5USA (California)Informal learningLLM/ChatAI literacyLanguage artsDesign researchPilot