In “5 Ways to Turn Notes into Meaningful Observations with AI,” Jodie kicks off her AI Empowered Planning Cycle mini-series with five practical methods for turning scribbled notes into comprehensive observations. Learn a simple 3-step AI prompt sequence that keeps your unique voice, connects play to EYLF outcomes, and produces family-friendly language – cutting 20 minutes or more from every observation while lifting documentation quality.
In “Rethinking Behaviour Management – A Connection-Based Approach with AI Support,” Jodie shows educators how to shift from controlling behaviour to understanding it. You’ll learn the principles of relationship-focused guidance, discover layered AI prompting techniques for real situations, and master the TEST method to adapt AI suggestions to your unique early learning environment. Practical workflows, common pitfalls and family-friendly communication tips turn tricky moments into opportunities for deeper connection…all while keeping your authentic educator voice front and centre.
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 “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.
In this essential episode of Early Education in the Age of AI, Jodie explains how to write effective prompts that generate meaningful, personalised responses, and more importantly, how to review and revise AI content so it truly reflects your unique educator voice and expertise.
By the end of this episode, you’ll have a clear understanding of what AI actually is (spoiler: it’s not scary robots!), how it learns and improves over time, and exactly how it can help you brainstorm activity ideas, simplify documentation, and create more personalised learning experiences without replacing your educator expertise.
By the end of this episode, you’ll understand exactly how to upload photos of observations, environments, and children’s work to get detailed analysis in seconds rather than hours, plus you’ll have step-by-step examples for documenting artwork, improving play spaces, and supporting children with diverse needs.
In this episode of Early Education in the Age of AI, I’ll show you how AI Assistants can become your personal educational assistant, providing instant activity ideas, reflection support, and confidence-building coaching whenever you need it most.
In this episode of Early Education in the Age of AI, I’ll show you how AI tools can become your educational assistant to make transition planning more efficient, personalised, and stress-free for both you and the children in your care.