

Welcome to Addvance Maths, here is a thread of all our resources for revision and teaching 😊
Will Mac
3.3K posts

@MrMac_Math
Maths teacher. MEd. Studying Ed Doctorate in Mathematical cognition. 👨🏫 Resource developer @AddvanceMaths ➕https://t.co/4wIwE3e27x


Welcome to Addvance Maths, here is a thread of all our resources for revision and teaching 😊


This is a mischaracterization of CLT. Just because a chart or any other content is complex or takes time to understand does not mean it is causing cognitive overload. CLT emphasizes optimizing the intrinsic cognitive load of the learning task while minimizing extraneous cognitive load. However, complexity and cognitive overload are not the same thing. CLT is not an argument for reducing complexity; it is about managing complexity. Learning often requires students to grapple with challenging ideas, analyze relationships, and construct meaningful mental models. The teacher’s role is to optimize intrinsic load by minimizing extraneous load, ensuring that students’ limited working memory is devoted to the productive thinking required by the task rather than consumed by unnecessary processing demands. Framing any challenging or complex learning task as “cognitive overload” misrepresents CLT and overlooks its central insight: working memory is limited, but effective instruction can help students optimize that limited capacity in ways that support learning. So the answer is yes: cognitive overload is always detrimental to learning. When working memory is overloaded, students are unable to effectively process, organize, and integrate new information into long-term memory.






@dperkinsed I suppose there could be a theoretical CLT effect where something deliberately induces extraneous load to incentivise students to focus on it slightly longer. Never been found in experiments to my knowledge, but my vibes based twitter musings make it sound plausible.









With AI, teaching will become unnecessary. But the role of teacher will become ever more irreplaceable. In the past, teachers stood at the front of the classroom and they taught. They explained things and then answered questions. Sometimes they were extra special, and they cracked jokes. Today, AI is indisputably a better teacher than human beings. It recognizes how you're thinking about a problem and addresses your particular gap immediately. It uses the Socratic Method and Scaffolded Hints without fail and never resorts to over-explaining. It speaks to you in your language, with your learning style, at your pace. And yes, it can even crack jokes. The days of frontal teaching are over. But what is not over is the need for teachers. With AI teaching the technical information, the human teacher is free to tend to the human being. This is best illustrated by example. I've worked with many kids who struggle with math. I'll give my company a quick shoutout -- we raised our students' test scores 2 standard deviations well above the mean, and in an absurdly quick amount of time. Our AI did nearly all of the math, but our tutors did something else: They broke through the emotional walls that prevent learning from happening in the first place. Our tutors noticed when math was making kids beat up on themselves. Our tutors noticed when math was no longer really about math. And that's what they spent their time on: Confidence. When @Josiah was working with his student testing in the 29th percentile, the kid would often burst into tears. Each time, Josiah would gently remind his student that he is capable, math is hard, and that if he takes it step-by-step, he can figure it out and do anything he sets his mind to. They practiced this over and over over, and one season later, the kid placed in the 65th percentile. Together, our AI Rocky optimized the curriculum and Josiah, our human tutor, healed the relationship with failure.



.@adamboxer1 was, very likely, doing it wrong 😑




Name an education opinion that’ll have you like this…
