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Generative AI and Educator Professional Development

Expected online publication date:  11 November 2026

Lucas Kohnke
Affiliation:
The Education University of Hong Kong

Summary

This Element examines how generative artificial intelligence (GenAI) is reshaping educator professional development across initial teacher education, in-service learning, and institutional policy. It addresses two related but distinct topics: professional learning about GenAI, in which teachers develop the knowledge, skills, and judgement needed to use these tools responsibly, and professional learning through GenAI, in which GenAI serves as a vehicle for learning about topics such as assessment, differentiation, and pedagogy. It argues that GenAI's educational significance lies less in automating production than in intensifying the need for professional judgement. It introduces practical quality gates for evaluating AI-assisted materials, a functional typology of GenAI tools, design principles for GenAI-enhanced professional learning, and inquiry approaches, including a GenAI Learning Log, that centre teacher agency. Mini-scenarios and checklists illustrate low-risk, job-embedded ways to build critical AI literacy responsibly and with attention to equity.

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Generative AI and Educator Professional Development
  • Lucas Kohnke, The Education University of Hong Kong
  • Online ISBN: 9781009746526
Available formats No formats are currently available for this content.
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Generative AI and Educator Professional Development
  • Lucas Kohnke, The Education University of Hong Kong
  • Online ISBN: 9781009746526
Available formats No formats are currently available for this content.
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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Generative AI and Educator Professional Development
  • Lucas Kohnke, The Education University of Hong Kong
  • Online ISBN: 9781009746526
Available formats No formats are currently available for this content.
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