This podcast episode helps educators replace token gestures with genuine, ongoing cultural inclusion. Jodie Clarke shares reflective AI prompts, planning tips and partnership strategies that respect cultural protocols while fitting the realities of everyday practice. From designing culturally connected spaces to documenting learning meaningfully, you’ll gain clear, confidence-building steps to honour Aboriginal and Torres Strait Islander perspectives throughout your programme.
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.
“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.
Using AI to Write Your Summative Assessments” guides you through a clear, five-stage method for turning scattered notes into personalised, framework-aligned reports – without the overwhelm. Jodie shares ready-to-use prompts, shows how to organise observations in seconds, and explains techniques to keep reports warm and authentic while letting AI handle structure and polish. Whether you’re new to AI or already experimenting, you’ll leave with practical steps to halve your writing time and produce assessments that truly capture each child’s learning journey.
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 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.
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.