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Design Thinking, AI, and Te Ao Māori: A Human-Centered Future for Education

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I recently attended FETC in Orlando, Florida and had the opportunity to meet Sabba Quidwai , author of Designing Schools , and discuss her belief in the power of design thinking in conjunction with artificial intelligence (AI). Her SPARK model—structured around Situation, Problem, Aspiration, Results, and Kismet—emphasizes a human-centered approach to education, as Sabba puts it, we must prompt the human first. I also managed to grab a copy of the book (Thanks Sabba and Jen Womble ) and as I read the pages, I was, in the back of my mind thinking how a lot of the ideas align closely with the principles of Te Ao Māori (The Māori world). While these frameworks emerge from different cultural and philosophical traditions, they share a fundamental conceit: the future of education must prioritize people, relationships, and collective growth rather than technology alone. The SPARK Model and Te Ao Māori: Points of Connection The SPARK model is designed to empower the learner as the driver of in...

Beyond Books and Bells: What Tokkatsu Can Teach Us About Holistic Education

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In an era where artificial intelligence is rapidly transforming industries, workplaces, and daily life, the importance of cultivating human intelligence has never been greater. While AI excels in processing information and automating tasks, it is our uniquely human traits—empathy, creativity, resilience, and the ability to connect with others—that will shape the future. Education systems must rise to the challenge by nurturing these qualities alongside academic skills. Japan’s Tokkatsu ( tokubetsu katsudou ), or “special activities,” offers a compelling model for holistic development, teaching students the life skills and emotional intelligence needed to thrive in a world increasingly shared with AI. Drawing on insights from research into effective educational practices, including the works of Battistich et al. (2000), Connell & Wellborn (1991), and Deci & Ryan (1985), I will explore Tokkatsu’s advantages and challenges through a student-focused lens. It also highlights how t...

Algorithm Antics: AI Models Take on Physics Problems

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In the ever-evolving landscape of AI, it’s easy to get swept up in the hype surrounding the latest and greatest models. Recently, New Zealand Physics teacher Benny Pan shared an intriguing LinkedIn post where he put GPT4-o1, Mistral, and GPT-4o mini through their paces on a complex NCEA Level 3 physics problem involving the rotational inertia of a satellite. Inspired by Benny’s experiment, I decided to conduct my own test, this time focusing on a complex 2D collision calculation. Armed with Microsoft Co-pilot, Google Gemini, GPT-o1, and GPT-4o mini, I set out to see how these models would handle the challenge. Just like Benny, I used quality data and Chain-of-Thought (COT) prompt engineering techniques to ensure a fair and rigorous evaluation. So, fellow educators, buckle up and join me on this enlightening journey through the world of AI in education. Let’s explore how these powerful tools can enhance our teaching and inspire our students to reach new heights in their understanding ...