We know the difference between external evidence and our own claims. This is how we evaluate the cognitive science behind Learn Bright.
Established mathematical proofs and absolute structural relationships (e.g., Urdhva Tiryakbhyam is a spatial representation of the distributive property).
Findings from cognitive science and experimental psychology (e.g., retrieval practice strengthens long-term retention compared to passive restudying).
How we apply these mechanisms in our product design (e.g., measuring student engagement when solution steps progressively fade away).
Does Bright Numerics produce better long-term standardized mathematics outcomes than conventional methods? We do not claim this yet.
Why trying to remember can be better than reading again.
The algebra behind vertically and crosswise.
From knowing money words to making trade-offs.