BBC NEWS | Health | Brain scans ‘reveal baby thoughts’
Brain scans ‘reveal baby thoughts’
Babies were fitted with nets of sensors
A burst of brain activity recorded by scientists could offer clues to a baby’s level of understanding of the world around it.
The researchers involved, from Birkbeck College, and University College London, believe their finding could begin to settle a controversial argument on baby brain development.
When an object is shown to six-month-old babies, then hidden, they often behave as if it is no longer present.
It appears to be “out of sight, out of mind”, as far as their level of understanding is concerned.
But scientists still suspect the baby, to some extent, does understand the object is still around, just hidden, even if it shows no physical signs of awareness.
I remember doing a lot of this kind of stuff while studying for my PGCE (Post Graduate Certificate in Education or a teacher training course). I think it was Piaget (et al) who went on about this. I was never quite sure as to the relevance for when I was teaching 18 year olds - A level Politics. Probably because his thinking is aimed more at how younger children develop and while I understand the need for children (and adults) to own a solution - reinventing a theory every time doesn’t ring true for me.
I was always more interested or convinced by Vygotsky -
Zone of proximal development is the difference between the child’s capacity to solve problems on his own, and his capacity to solve them with assistance. In other words, the actual developmental level refers to all the functions and activities that a child can perform on his own, independently without the help of anyone else. On the other hand, the zone of proximal development includes all the functions and activities that a child or a learner can perform only with the assistance of someone else. The person in this scaffolding process, providing non-intrusive intervention, could be an adult (parent, teacher, caretaker, language instructor) or another peer who has already mastered that particular function.
The important point is that:
… the idea that human learning presupposes a specific social nature and is part of a process by which children grow into the intellectual life of those around them (Vygotsky, 1978).
We learn through a social context. We learn by going from what we already know to an area just beyond. We are supported by others, socially, to move into this space and develop our knowledge there.
If that is how Humans learn, and I believe it is, what implications does that have for machine learning. Should the kind of ideas that are espoused in Shelly’s post about RDF and the semantic web be viewed through this kind of thinking. Intuitively I think there is more here to explore.
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