Case ReportPublished systematic reviewNov. 24, 2022
AAB-CASE-2025-RV-034
Pedagogical Design of K-12 Artificial Intelligence Education: A Systematic Review
WoS empirical AI program review: 32 studies 2010–2022; Gerlach & Ely nine-dimension analysis.
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 department of curriculum and instruction
02
Learning context
In-school (K–12)
03
AI role
Tutor
04
Outcome signal
Motivation
Registry Facets
0
Education Level
- K-12
Subject Area
- AI education
- Pedagogical design
Use Case Type
- Systematic review
Stakeholder Group
- Researchers
- Teachers
AI Capability Type
- Foundational AI concepts
- ML
Implementation Model
- Classroom-level
Evidence Type
- Systematic review
Outcomes Domain
- Motivation
- Assessment gaps
Implementing Organization
1
Organization Type
University department of curriculum and instruction
Location
Hong Kong SAR, China
Primary Facilitator Role
Authors conducting systematic search and thematic synthesis
Learning Context
2
Setting Type
- In-school (K–12)
- Informal learning
Session Format
Systematic search of Web of Science empirical AI teaching studies
Duration
2010–2022 publication window
Group Size
32 empirical studies
Devices
Varied per included programs
Constraints
- Single-database search may miss studies
- Small samples dominate field
- Heavy interview/self-report reliance limits objectivity
- Post-2022 boom partially outdates snapshot
Learner Profile
3
Age Range
K-12 across programs
Prior AI Exposure Assumed
Varies by era and region in corpus
Prior Programming Background Assumed
Varies by program design
Educational Intent
4
Primary Learning Goals
- Characterize empirical AI program pedagogical designs
- Apply Gerlach & Ely model across nine dimensions
- Assess evidence on outcomes and evaluation practices
Secondary Learning Goals
- Show positive attitudinal/motivational patterns
- Flag lack of objective knowledge measures
What This Was Not
- Not umbrella review of reviews
- Not non-empirical gray literature synthesis
- Not effect-size meta-analysis
AI Tool Description
5
Tool Type
Diverse AI teaching tools as reported in 32 studies
AI Role
- Tutor
- Co-creator
Languages
English WoS corpus; global authorship patterns possible
User Interaction Model
- Programs mix theories and pedagogies (constructivism, PBL, games, etc.)
Safeguards
- Future work should add objective knowledge assessments
- Ethical reporting for child participants in primary studies
- Equity in who receives playful AI interventions
Activity Design
6
Activity Flow
- Define empirical AI teaching inclusion criteria
- Screen WoS to 32 studies
- Code nine Gerlach & Ely dimensions
- Thematic synthesis with exemplary illustrations
Human Vs AI Responsibilities
- Reviewers interpret study reports; primary teachers remain responsible for local design quality
Scaffolding Strategies
- Model helps compare programs systematically for designers
Observed Challenges
7
Educators Reported
- Small n and self-report bias limit strength of knowledge claims
- Need standardized assessments and larger trials
- Interdisciplinary design complexity
Design Adaptations
8
Adaptations
- Gerlach & Ely lens applied systematically to AI-specific T&L reviews
Reported Outcomes
9
Engagement
- Documents growing empirical attention to K-12 AI programs
Learning Signals
- Positive signals for motivation, engagement, attitude
- Objective knowledge acquisition under-measured
Educators Reflection
Provides design dimensions checklist and future directions for stronger evaluation.
Ethical & Privacy Considerations
10
Privacy
- Transparent PRISMA-style reporting in follow-on reviews
- Child ethics in cited small-scale studies
- Avoid overgeneralizing from motivational proxies alone
Evidence Type
11
Evidence
- Activity documentation
- Practitioner observation
Relevance to Research
12
Potential Research Use
- Add objective tests and learning analytics to future empirical AI program studies
- Multi-database update including post-2022 GenAI programs
Relevant Research Domains
- K-12 AI pedagogy
- Instructional design models
- Motivation and engagement research
Case Status
13
Case Status
- Completed
AAB Classification Tags
14
Age
K-12
Setting
Global (WoS empirical set)
AI Function
Teach AI programs
Pedagogy
Gerlach & Ely mapped
Risk Level
Low
Data Sensitivity
N/A
Registry Metadata
15
Case ID
AAB-CASE-2025-RV-034
Publication Status
Published systematic review
Tags
caseK-12Hong Kong SAR, ChinaClassroom-levelFoundational AI conceptsAI educationPedagogical designSystematic review