“How AI Can Help Educators Make Learning Visible” flips the focus from pretty walls to powerful stories. Jodie explains how AI can transform fleeting observations into rich, EYLF-aligned narratives, suggest innovative digital and outdoor display ideas, and streamline your entire documentation cycle, so families, assessors and, most importantly, children see real learning on show, not generic décor.
In “Understanding Educational Theories with Perplexity AI,” Jodie shows you how to replace endless Googling with quick, credible information. Discover prompts that compare key theorists, see how Perplexity’s follow-up feature keeps you focused, and learn to tie findings straight to EYLF outcomes. Perfect for new and experienced educators who want reliable, source-linked information without the research overwhelm.
In this episode – “Developing an AI Policy for Your Early Childhood Service,” Jodie takes you through a clear, collaborative process for writing and introducing an AI policy that truly protects children and empowers educators. You’ll discover the twelve essential components every policy needs – from data privacy and ethical safeguards to staff roles, family consent and ongoing review. Jodie explains how to map AI applications to EYLF principles and NQS elements, engage your team and families, and build sustainable systems for training, incident response and continuous improvement. Realistic examples, practical frameworks and a free PDF Action & Reflection Guide make it easy to move from ideas to action, whether you’re just starting out or refining AI practices already in place. Press play to turn potential confusion into confident, strategic leadership in the age of artificial intelligence.
In “Smart AI Strategies To Support Quality Improvement & Assessment,” Jodie Clarke explores how AI tools like Claude, Gemini and ChatGPT can help early childhood professionals in Australia align practices with the EYLF and NQS. You’ll learn to generate engaging programme ideas, simplify documentation and assessment, and drive your service’s quality improvement journey—all while maintaining ethical use and professional judgment. Perfect for educators and leaders seeking a supportive, collaborative approach to AI in their early learning environments.
In this episode of the Early Education in the Age of AI podcast, we delve into the world of learning stories, a popular observation method in early childhood education that celebrates the unique learning journeys of each child. We explore the core principles that set learning stories apart from traditional observation methods, highlighting their strength-based approach, detailed storytelling style descriptions, and emphasis on interpretation and analysis.
It’s 9am on a Tuesday – you’re knee-deep in an ocean of playdough infused carpet, paint-covered aprons, and a table…
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Welcome back to the second part of our interesting series on the wonders of children’s play schemas. PART 1 HERE…
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As an early childhood educator, have you ever noticed a child endlessly filling containers or obsessively lining up objects? These…
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How can early childhood educators implement continuous quality improvement with the Early Years Learning Framework?The journey of evolving practice and…
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An important part of an educator’s role is to confidently set achievable goals that consistently support a strong self-assessment and…
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How do you as an early childhood educator prepare for the assessment and rating process?Perhaps it feels like the process…
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When working as an educator in the early childhood profession, documenting child observations is simply a means of gathering information…
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Documenting and incorporating the children’s voices for baby and toddler groups into early childhood programs and environments when they are…
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Recording observations for baby and toddler groups can be a challenge for early childhood educators but it just takes a…
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To plan effectively for the 0-2 Years age group takes a little thinking outside the box. You need to give…
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