I enjoy taking ML work and pondering what it might look like in the context of human education. Imagine human physics education with meta-learning characterist

I enjoy taking ML work and pondering what it might look like in the context of human education. Imagine human physics education with meta-learning characteristics. Having to classify problems. No more "here are numbers for solid Argon... apply the ideal gas law" clueless plug-and-chug. Developing a sense for reasonable values. Encountering unfamiliar problems. Thus developing skills of rough quantitative reasoning, and of system decomposition and characterization. Encountering descriptions of unfamiliar problem domains. And having to extract understanding from them. With human science education at present, even correct labeling and baseline models, let alone transference, are distant, distant dreams. But even thus shackled and buried, visualizing dance might have value, if it supports improved recognition of opportunities and preparation for escape.