The media has written extensively about artificial intelligence (AI),
fretting about how it will replace humans in almost every job and be the
demise of human civilization, says Alina von Davier, Senior Vice President - ACTNext, Adjunct Professor - Fordham University and Esther Care, Senior Fellow - Global Economy and Development, Center for Universal Education.
But on a more positive note, we have
gained a lot from machines and “AI-augmented” humans, from sensors to
prosthetics to gene editing. Little attention, though, has been given to
the more modest, but potentially impactful, knowledge transfer from
machines to humans: teaching, learning, and assessment in schools.
We are referring to the deconstruction of complex human behavior into
educational strategies that teachers can deploy in their classrooms.
Machines can study and measure behavior in a way that the contributing
cognitive and social processes that are part of children’s behavior are
identifiable.
Complementing these learnings from AI, big data can also provide us with
a way of deconstructing complex behaviors, or in other words, pulling
complex behaviors apart to understand each contributing part. This is of
course not a skill confined to AI. Teachers themselves can and do
engage in these activities to understand the depth and nature of what
they are teaching—and assessing.
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Source: Brookings Institution