Case ReportPublished mixed-methods study2025
AAB-CASE-2025-RV-058
Generative AI in teacher education: Educators’ perceptions of transformative potentials and the triadic nature of AI literacy explored through AI-enhanced methods
CAEAI; Aarhus, Leuphana, Hamburg, Vorarlberg colleges.
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 and teacher-education colleges
02
Learning context
Private program
03
AI role
Co-creator
04
Outcome signal
Attitudes
Registry Facets
0
Education Level
- Higher education
Subject Area
- Teacher professional development
- AI literacy
Use Case Type
- Survey research
- Interview study
Stakeholder Group
- Teachers
AI Capability Type
- Generative AI
- LLM/Chat
Implementation Model
- System-level guidance
Evidence Type
- Mixed methods
Outcomes Domain
- Attitudes
- Curriculum guidance
Implementing Organization
1
Organization Type
Universities and teacher-education colleges
Location
Denmark / Germany / Austria
Primary Facilitator Role
Teacher educators (participants)
Learning Context
2
Setting Type
- Private program
Session Format
Mixed-methods survey + qualitative analysis augmented by GenAI/NLP
Duration
Single study wave
Group Size
91 teacher educators
Devices
GenAI tools for analysis and topic of inquiry
Constraints
- Reflexivity on using GenAI to study GenAI
- Regional sample
Learner Profile
3
Age Range
Teacher educators
Prior AI Exposure Assumed
Post-ChatGPT wave
Prior Programming Background Assumed
Varies
Educational Intent
4
Primary Learning Goals
- Characterize perceptions of GenAI’s transformative role
- Surface triadic knowledge needs: literacy, didactics, assessment
Secondary Learning Goals
- Demonstrate AI-enhanced qualitative workflows
What This Was Not
- Not student-teacher classroom RCT
AI Tool Description
5
Tool Type
GenAI (ChatGPT-era) in teacher education discourse
AI Role
- Co-creator
- Tutor
Languages
Nordic/Central European HE
User Interaction Model
- GenAI assists coding of open-ended educator responses
Safeguards
- Ethics and assessment integrity in GenAI curricula
- Preserve foundational teaching skills
Activity Design
6
Activity Flow
- Collect perceptions
- Thematic analysis with GenAI support
- NLP on quantitative strands
Human Vs AI Responsibilities
- Educators interpret; AI accelerates pattern finding with oversight
Scaffolding Strategies
- Triadic framework to structure teacher-ed learning goals
Observed Challenges
7
Educators Reported
- Tension between innovation and safeguarding core competencies
- Diverse enthusiasm levels
Design Adaptations
8
Adaptations
- Triadic AI literacy framing for teacher education
Reported Outcomes
9
Engagement
Learning Signals
- Three thematic clusters dominate educator priorities
Educators Reflection
Curriculum designers gain a structured lens for GenAI in TE.
Ethical & Privacy Considerations
10
Privacy
- Reflexive use of GenAI in research
- Data protection for educator quotes
Evidence Type
11
Evidence
- Post assessment
- Activity documentation
- Practitioner observation
Relevance to Research
12
Potential Research Use
- Track pre-service outcomes under new TE curricula
- Cross-national replication
Relevant Research Domains
- Teacher education
- GenAI
- Mixed methods
Case Status
13
Case Status
- Completed
AAB Classification Tags
14
Age
Teacher educators
Setting
EU HE
AI Function
TE transformation
Pedagogy
Triadic literacy
Risk Level
Medium
Data Sensitivity
Medium
Registry Metadata
15
Case ID
AAB-CASE-2025-RV-058
Publication Status
Published mixed-methods study
Tags
caseHigher educationDenmark / Germany / AustriaSystem-level guidanceGenerative AITeacher professional developmentAI literacySurvey researchInterview study