With the Race to Adopt AI Are Educators Getting It Wrong Again? Probably So

 I suspect education and Ed Tech will get AI wrong like it did with other Tech.

After they spend a great deal of scarce money on a LLM product, they will then be forced to justify it so they will force teachers and students to use the product. 

Their measurement will be number of users and user time, not a measure of effectiveness or achievement. That’s what happened with all the Chromebooks.

The question won't be "Do you find it useful?" It will be one of the must-do's on teacher evaluations. We-bought-it-you-use-it approach.

Why does this happen? Educators and school technologists eagerly adopt a new technology before it has even had time to prove any usefulness. Is it a race to brag?

Or, a neighboring district brags about adoption, and the district has to keep up with the Jones's. Why else do you hear the "Everybody-is-using-it" justification.

Instead of this adoption model, why not try small-scale scientific studies?

Before you sign those 3-year contracts, explore through small-scale adoption with company's free access? Not a two-week trial. Perhaps a two year trial. Don’t declare the product effective because of one-semester of correlated positive results. Be patient.

Perhaps education got technology wrong, and there's a screen ban/limit backlash because there was no local experimentation and evaluation. There was a race to adopt.