למידה, אינטרנט ... ומה שביניהם

We have reached the level where we can train robots to beat Ken Jennings at Jeopardy and to recognize all the anatomical differences in chickens’ bone structures, but are we able to recognize and cultivate differences elsewhere – oh say, the cognitive differences and intellectual capacities in humans, in students?

In other words, can we build and train robots to help us – in all of our uniqueness – learn? What sort of standardization, what sort of differentiation would that entail? More testing, more data-gathering?

And this is the more important question: even if we can build automated instructional software, do we want to? Why?

And what are the implications of automating the teaching and learning process? Why does efficiency matter so much? Why do we want the messy and open-ended process of inquiry standardized, scaled, or automated? What will all of this artificial intelligence drive us to do about human intelligence?

It’s clear that building teaching machines has been a goal in the past. But that doesn’t mean that doing so is “progress.” What is our vision for the future? Either we decide what these new technologies mean for us — what our ethical approach to technology will be — or someone else will.

More broadly too, we’re witnessing a retelling of the history of education and education technology that eliminates contributions from almost all educators, researchers, and theorists, particularly those outside of elite US institutions (namely Stanford, Harvard, and MIT) and outside of the US.

When the Board of Visitors at the University of Virginia voted to fire President Teresa Sullivan last summer, for example, it was not because of something they’d read in academic research journals; it was apparently not due to conversations they’d had with the university’s education technology experts or its professors or its students. The Board were moved by the news, by the mainstream media — they cited op-eds by David Brooks and articles in The Wall Street Journal as their rationale for why the university under Sullivan’s leadership was moving far too slowly. And in doing so, the Board of Visitors ignored all the innovative digital projects that were already occurring on the UVA campus – many that might have fit their narrative about the necessity for radical transformation of higher education.

And from 1892, the story they tell jumps ahead, straight to the invention of the Internet. “The big thing here,” says Noer as the two skip over one hundred-plus years of history, “is what you’ve done” with Khan Academy. “One person with one computer can reach millions.” This revolutionizes lectures, Noer argues; it revolutionizes homework. “Class time is liberated,” adds Khan. This changes everything — Khan Academy changes everything — that has been stagnant and static since the nineteenth century.

Because there are other stories about the past and the future of education — ones where building human capacity trumps adding tablet capacity; ones where agency matter more than algorithms; ones where innovation comes from students, from professors, from librarians, from researchers; ones where new ideas are not driven by commercialism but by care....