Meritxell Monguillot
33.1K posts

Meritxell Monguillot
@MMonguillot
Aprenent. Docent a @inefcat Buscant la millor versió. Membre del Grup de Recerca en Ciències de l'Esport INEFC Barcelona, de @RosaSensatAxA i d'#EFteam





Cognitive load theory and learning math with John Swller youtu.be/WPm3ls6y-GE?si…


Not to go the opposite direction but my least favorite RP question is what do you remember from yesterday’s lesson. It’s a low hanging fruit question. Meaning Ss recall the most accessible thing not the things they can’t yet remember. I mention bc a brain dump could risk a bit of the low hanging fruit factor if u weren’t careful. One study found that w retrieval specific questions were better than general questions and I think that’s one reason why. Obviously sharing this as a huge fan of your teaching.

The most powerful tool in any field is the ability to break a large problem into small, solvable pieces.





One reason automaticity matters is that it reduces cognitive load. When lower-level skills become effortless, working memory is freed for higher-level reasoning. This is one of the main ways mathematical development becomes possible. It's not just a minor convenience.


The most efficient way to strengthen knowledge is often not to keep repeating it in isolation. It is to continue building on top of it. The more connections a piece of knowledge has, the more ingrained, organized, and retrievable it becomes. That is one reason serious mathematical development should not feel like a sequence of disconnected units. It should feel like a growing structure.


A scaffold that remains in place too long ceases to be a scaffold and becomes a crutch. Support matters. But so does knowing when support should begin to disappear.

