Too Many Classrooms Don't Require Thinking - AI Just Made that More Obvious (educators)

We keep asking whether students should be allowed to use AI, as if the tool is the problem. The uncomfortable reality is that many students have always been able to complete schoolwork without thinking, long before AI existed. This episode breaks down what cognitive science has made clear for decades: learning does not come from completion, or time-on-task. AI didn’t create a new problem. It exposed a structural one. This episode challenges a deeper question: Are we designing learning experiences that require thinking, or just tasks that can be completed?This episode draws in part on research in…​Desirable difficulties & retrieval practice (Bjork & Bjork, 2011)​Cognitive Load Theory (Sweller, Ayres & Kalyuga, 2011)​Testing effect & retrieval-based learning (Roediger & Karpicke, 2006)​Surface vs deep learning & achievement (Hattie, 2009)​Minimal guidance & cognitive architecture (Kirschner, Sweller & Clark, 2006)