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🌍 Knowledge Hub

 

The Knowledge Hub is ChildTechLab’s digital resource library, collecting the most up-to-date professional materials on the intersection of artificial intelligence and early childhood education.

 

Here you’ll find:
• downloadable studies and position papers,
• case studies and best practices,
• methodological toolkits,
• expert videos and infographics,
• curated international references,
• child-friendly explanatory materials.

 

The purpose of the Knowledge Hub is to support educators, developers, researchers, and parents with accessible, reliable, and understandable content to explore and develop AI-based learning environments in early education.

📘 Studies & Background Papers

  • ChildTechLab’s own research papers and publications

  • Curated selection of international studies (with links and downloads)

  • Policy briefs and position papers (AI, ethics, early education)

  • External links to DOI / Zenodo / ResearchGate entries

 

📥 Downloadable Resources

  • Methodological templates (e.g. observation sheets, reflection journal prompts)

  • Parent-friendly explanatory leaflets about AI in early childhood

  • Decision-support tools for educators (e.g. “Ask Yourself First” checklists)

  • User guides for AI-based educational tools

 

🧩 Module Collection – M.I.N.D. / E.T.I.K.A. / P.L.A.Y. / R.E.A.L. / S.A.F.E.

  • Dedicated subpages for each module (description, logo, references, activities)

  • Downloadable module sheets (PDF)

  • Comparison table of all modules

  • Practical use cases and implementation tips

 

🎥 Visual Library

  • Infographics (e.g. “AI in Kindergarten,” “Children’s Digital Rights,” “Play & Tech”)

  • Illustrated templates and posters

  • Short expert videos (interviews, best practices, method demos)

  • Gallery of AI tools in early education environments

 

🌍 Global Inspiration Map

  • Best practices from other countries (summaries and external links)

  • International partnerships and programs

  • Conferences and funding opportunities

  • CHILDTECH RADAR – live updates and curated news

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CHILDTECH RADAR is the strategic monitoring and foresight tool of the ChildTechLab ecosystem. It continuously tracks global and local developments at the intersection of artificial intelligence and early childhood education.

 

Key functions:

  • Curating up-to-date news, publications, and academic findings

  • Monitoring emerging technologies and educational innovations

  • Identifying international best practices and pilot programs

  • Following ethical and regulatory trends

  • Mapping out conferences, funding calls, and collaboration opportunities

 

Its purpose is to:

  • proactively support strategic planning for AI integration in preschools

  • connect educators, developers, and researchers with the latest insights

  • translate expert information into accessible, actionable formats for the community

 

RADAR content will be available through a dedicated newsletter.

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C.A.S.T. – ChildTechLab Audio–Story–Transmission
C.A.S.T. is the communication and knowledge-sharing ecosystem of the ChildTechLab, bridging research, pedagogy, and public dialogue. The acronym’s double meaning – “cast” as to broadcast and a community of people – reflects that the ChildTechLab does not only transmit information, but also builds human connections.

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C.A.S.T. consists of three integrated media platforms:

  • 🎥 Channel: video-based knowledge and inspiration

  • 📸 Photos: visual storytelling and early childhood moments

  • 🎙️ Voice: podcast and reflective conversations

 

Mission: to bring human-centered stories to life where early childhood education meets artificial intelligence.

 

Motto: “Where knowledge finds its voice, image, and story.”
 

C.A.S.T. acts as a bridge connecting educators, researchers, and developers – making the OkosÓvoda and ChildTechLab world both visible and audible to the world.

 

C.A.S.T. functions as the conceptual bridge within the ChildTechLab ecosystem. While M.I.N.D. represents theoretical and empirical research, S.A.F.E. defines ethical and safety frameworks, and PLAY focuses on pedagogical experimentation, C.A.S.T. connects them all through communication, dissemination, and shared learning.


Its mission is to transform laboratory knowledge into community knowledge – from science to educator, from educator to parent, from parent to child.

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