Case ReportPublished systematic review2025
AAB-CASE-2025-RV-060
Artificial intelligence in teaching and teacher professional development: A systematic review
CAEAI; EdUHK; PRISMA synthesis on teaching vs TPD foci.
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
Education University of Hong Kong
02
Learning context
In-school (K–12)
03
AI role
Tutor
04
Outcome signal
Research synthesis
Registry Facets
0
Education Level
- K-12
- Higher education
Subject Area
- Teacher professional development
- AI in education
Use Case Type
- Systematic review
Stakeholder Group
- Teachers
- Researchers
AI Capability Type
- Broad
Implementation Model
- Cross-cutting
Evidence Type
- Systematic review
Outcomes Domain
- Research synthesis
- Policy
Implementing Organization
1
Organization Type
Education University of Hong Kong
Location
Hong Kong SAR, China
Primary Facilitator Role
Authors
Learning Context
2
Setting Type
- In-school (K–12)
- Informal learning
Session Format
PRISMA systematic review
Duration
2015–2024 publications
Group Size
95 included studies
Devices
AI technologies in teaching and PD contexts
Constraints
- English-language bias possible
- Fast post-2022 GenAI shift
Learner Profile
3
Age Range
Teachers and students across reviewed contexts
Prior AI Exposure Assumed
Escalating post-GenAI
Prior Programming Background Assumed
Varies
Educational Intent
4
Primary Learning Goals
- Compare supply of PD opportunities with demand for AI integration
- Synthesize AI uses in teaching vs teacher PD
Secondary Learning Goals
- Prioritize ethical and technical issues for responsible PD research
What This Was Not
- Not meta-analysis of effect sizes
AI Tool Description
5
Tool Type
AI in teaching and PD (multi-modal review)
AI Role
- Tutor
- Evaluator
- Automation tool
Languages
International literature
User Interaction Model
Safeguards
- Responsible integration requires PD research on ethics and technology
Activity Design
6
Activity Flow
- PRISMA search and screening
- Thematic synthesis
- Identify research imbalance
Human Vs AI Responsibilities
Scaffolding Strategies
Observed Challenges
7
Educators Reported
- Research skew toward AI in classroom delivery vs teacher PD
- Teacher development needs under-addressed
Design Adaptations
8
Adaptations
- Explicit agenda to grow AI-for-PD evidence base
Reported Outcomes
9
Engagement
Learning Signals
- 65/35 split teaching vs PD emphasis in corpus
Educators Reflection
Supports funding and journals to rebalance AI-for-teachers work.
Ethical & Privacy Considerations
10
Privacy
- Ethical AI PD design
- Equity of access to AI upskilling
Evidence Type
11
Evidence
- Activity documentation
- Practitioner observation
Relevance to Research
12
Potential Research Use
- Interventions measuring PD outcomes from AI tools
- Link student and teacher perspectives in unified designs
Relevant Research Domains
- Teacher PD
- AI in education
- PRISMA
Case Status
13
Case Status
- Completed
AAB Classification Tags
14
Age
Teachers
Setting
Global
AI Function
Teaching + PD map
Pedagogy
Systematic review
Risk Level
Low
Data Sensitivity
N/A
Registry Metadata
15
Case ID
AAB-CASE-2025-RV-060
Publication Status
Published systematic review
Tags
caseK-12Hong Kong SAR, ChinaCross-cuttingBroadTeacher professional developmentAI in educationSystematic review