Case ReportPublished empirical studyOct. 21–25, 2025
AAB-CASE-2025-RV-050
AI Education in Middle School: Exploring the Mechanisms and Constraints of Generative AI
ACM CompEd 2025 Vol 1; Nigeria; First Tech U Ibadan et al.
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 + Nigerian middle school
02
Learning context
In-school (K–12)
03
AI role
Tutor
04
Outcome signal
Knowledge
Registry Facets
0
Education Level
- 6-8
Subject Area
- AI literacy
- Computer science
Use Case Type
- Pilot
- Curriculum
Stakeholder Group
- Students
AI Capability Type
- LLM/Chat
- Generative AI
Implementation Model
- Classroom-level
Evidence Type
- Mixed methods
- Pre/post
Outcomes Domain
- Knowledge
- Attitudes
Implementing Organization
1
Organization Type
Universities + Nigerian middle school
Location
Nigeria
Primary Facilitator Role
Researchers / instructors
Learning Context
2
Setting Type
- In-school (K–12)
Session Format
Structured AI literacy module on GAI
Duration
Program as implemented
Group Size
30 participants
Devices
ChatGPT-oriented instruction
Constraints
- Developing-country infrastructure
- Small n
Learner Profile
3
Age Range
Middle school
Prior AI Exposure Assumed
Many without prior GAI knowledge
Prior Programming Background Assumed
Varies
Educational Intent
4
Primary Learning Goals
- Build understanding of GAI and ChatGPT mechanics
- Improve responsible-use awareness
Secondary Learning Goals
- Broaden AI literacy participation in African K–12 context
What This Was Not
- Not national curriculum rollout study
AI Tool Description
5
Tool Type
ChatGPT / generative AI instruction
AI Role
- Tutor
- Co-creator
Languages
English (implied)
User Interaction Model
- Explain how chatbots work; discuss ethics
Safeguards
- Ethics module
- Age-appropriate access policies
Activity Design
6
Activity Flow
- Intro AI
- What ChatGPT is
- How it works
- Ethics
- Assessments and qualitative analysis
Human Vs AI Responsibilities
- Teachers scaffold; students practice informed use
Scaffolding Strategies
- Start from zero prior GAI for many learners
Observed Challenges
7
Educators Reported
- K–12 AI curricula underdeveloped in many regions
- Resource constraints
Design Adaptations
8
Adaptations
- Contextualized African middle-school implementation
Reported Outcomes
9
Engagement
- Addresses participation gap
Learning Signals
- Significant positive shifts in GAI understanding (t-tests)
Educators Reflection
Model for compact GAI literacy modules in resource-limited schools.
Ethical & Privacy Considerations
10
Privacy
- Student data in GenAI trials
- Equitable access to tools
Evidence Type
11
Evidence
- Post assessment
- Activity documentation
- Practitioner observation
Relevance to Research
12
Potential Research Use
- Scale-up with control groups
- Link to national standards
Relevant Research Domains
- CompEd
- K–12 AI in Africa
- Generative AI
Case Status
13
Case Status
- Completed
AAB Classification Tags
14
Age
Middle school
Setting
Nigeria
AI Function
GAI literacy
Pedagogy
Mixed methods module
Risk Level
Medium
Data Sensitivity
Medium
Registry Metadata
15
Case ID
AAB-CASE-2025-RV-050
Publication Status
Published empirical study
Tags
case6-8NigeriaClassroom-levelLLM/ChatAI literacyComputer sciencePilotCurriculum