Better learning with shape-shifting objects

Reminds me of this startup that makes deformed football (soccer) balls for training [1].

In [1] the founder calls it "differentiated training", but that doesn't seem to be an established term in English. There's a wikipedia article on "differentiated instruction" [2], but that seems to be specific to a school context. I only really found information on it in German, e.g. [3].

[1] https://www.zdnet.com/article/qa-mario-sinnhofer-on-rethinki...

[2] https://en.wikipedia.org/wiki/Differentiated_instruction

[3] https://soccerkinetics.de/differenzielles-lernen-fussball/

This article loses a lot of impact by focusing on an all-or-nothing task like shooting a basketball. Why would you practice shooting at a wrong size/wrong height basket at all? There are no points for near miss and you make enough shots in a game that it's a statics game anyway

If you like this you may also be interested in the general instructional paradigm of "Errorless Learning"

https://en.wikipedia.org/wiki/Errorless_learning

I thought this was going to be about machine learning. It would be really useful for generalizing Ml models as well

You can already raise or lower Your hoop. And young can also use a smaller ball.

But this is cool as a concept.