Both Machine and Human learnings have to deal with similar issues:
Supervised vs unsupervised learning,
Structured vs unstructured learning,
Few-shot learning vs "Blink" learning (Malcolm Gladwell),
Long/short term learning vs "forgetfulness vs retention" tradeoffs,
Zero shot learning vs "dream" learning,
Visuomotor learning vs Multisensory learning (AVK),
Explanability vs Biases.
By learning about how machines can learn, we are discovering and will further discover new ways of learning which hitherto had not been explored or even imagined and which may well revolutionize the standards we know about our own way of learning, to augment human intelligence.