Generative AI in teacher education: Educators’ perceptions of transformative potentials and the triadic nature of AI literacy explored through AI-enhanced methods

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

The release of ChatGPT in November 2022 has sparked discussions about integrating Generative Artificial Intelligence (GenAI) into teacher education. Teacher educators, as key facilitators of pre-service teacher learning, play a critical role in shaping the successful adoption of GenAI. Their perceptions guide curriculum redesign, define promoted practices, and shape how pre-service teachers experience educational uses of GenAI tools, potentially multiplying its impact across future classrooms. This mixed-methods study explored Danish teacher educators’ perceptions of GenAI (n = 91), focusing on its transformative potential and the knowledge pre-service teachers need to acquire. Innovative methods, including GenAI-supported thematic analysis and Natural Language Processing, were used to analyze qualitative and quantitative survey data. Findings reveal diverse perceptions, ranging from enthusiasm for fostering innovative teaching to concerns about ethics, assessment, and safeguarding basic skills. Concerning GenAI's potential, three key themes emerged: AI literacy, AI didactics, and AI assessment. Regarding required knowledge, teacher educators emphasized multifaceted AI literacies (AI as a teaching tool, as teaching content, and as a learning tool) framed within ethical, cultural, and democratic contexts. Mediation analyses showed that GenAI use mediated the link between both intrinsic motivation and confidence, and perceptions of its potential. Importantly, teacher educators identified a pressing need for both formal professional development and informal, collaborative learning opportunities. This study extends the TPACK framework by incorporating the triadic nature of AI literacy and emphasizes the importance of preparing educators to engage critically and responsibly with GenAI in education.

Original languageEnglish
Article number100471
JournalComputers and Education: Artificial Intelligence
Volume9
Number of pages15
DOIs
Publication statusPublished - 12.2025

Bibliographical note

Publisher Copyright:
© 2025 The Authors

    Research areas

  • AI literacy, Generative artificial intelligence, Mixed-methods research, Perceptions, Teacher education
  • Educational science

Recently viewed

Researchers

  1. Matthias Werner

Publications

  1. Über das Essen
  2. Compression behaviour of wire + arc additive manufactured structures
  3. Guest editorial
  4. Agency, values, and well-being
  5. Leading Knowledge Exploration and Exploitation in Schools
  6. Temporary organizing and acceleration
  7. Jointly experimenting for transformation?
  8. Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0
  9. Advanced Controlling - eine Ideenskizze
  10. The importance of understanding the multiple dimensions of power in stakeholder participation for effective biodiversity conservation
  11. Classification of playing position in elite junior Australian football using technical skill indicators
  12. HAWK@QALD5 - Trying to answer hybrid questions with various simple ranking techniques
  13. Building a digital anchor
  14. Adaptive Environments
  15. How Do Negotiators Resolve Conflict Over Resources of Changing Value: The Role of Trust in Sequential Negotiations
  16. Towards a Multi-Level Approach to Studying Entrepreneurship in Professional Services
  17. Evidence on copula-based double-hurdle models with flexible margins
  18. Realist Inquiry
  19. Microstructure by design
  20. The most frequent phrasal verbs in English language EU documents - A corpus-based analysis and its implications
  21. Der „reflective practicioner“
  22. "Was tun?"
  23. Enhancing public participation through social learning and local identity
  24. How Big Does Big Data Need to Be?
  25. Links between media communication and local perceptions of climate change in an indigenous society
  26. The Power and Peril of Precise vs. Round Health Message Interventions to Increase Stair-Use
  27. On the impact of network size and average degree on the robustness of centrality measures
  28. Final departure