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Showing posts with the label artificial intelligence

AI-Resistant Authentic Learning Experiences: Creating Meaningful Learning Experiences in the Age of AI

AI-Resistant Authentic Learning Experiences: Creating Meaningful Learning Experiences in the Age of AI What if the best way to make learning AI-resistant isn’t to ban AI—but to make learning worth doing? I’m excited to share an article I co-authored with my fellow AMLE Teacher Leader, Marri Bayor, AI-Resistant Authentic Learning Experiences: Creating Meaningful Learning in the Age of Artificial Intelligence. As educators, we’re navigating a new reality. Students have unprecedented access to artificial intelligence, and it’s easy to focus our energy on restrictions, detection, and preventing misuse.  But what if we asked a different question? How can we design learning experiences that AI can’t replace? In our article, Marri and I explore why we believe the answer starts with authentic learning. When students are solving meaningful problems, collaborating, defending their thinking, creating something that matters, and connecting learning to their own lives, AI becomes a tool—not a s...

An AI-Resistant Approach to Teaching Statistics — Webinar Reflection

I recently joined Nicole Hamilton and Lucas Owen as a panelist in a webinar titled “An AI-Resistant Approach to Teaching Statistics,” which explored how statistics instruction must evolve in a world where generative AI can quickly perform calculations and produce answers. Rather than focusing on limiting AI, the conversation centered on designing learning experiences that emphasize human reasoning, curiosity, and authentic data exploration.One key takeaway is that statistics instruction should move beyond procedural calculations and instead focus on sense-making with real data. When students investigate authentic datasets, pose their own questions, and interpret patterns, the learning becomes far more meaningful—and much harder for AI to replace. We also discussed how student engagement plays a critical role: when students are working with data that is meaningful and relevant to them, they are far less likely to rely on AI because they are genuinely invested in exploring and understand...