Techno-promoters, to use a term that Larry Cuban used in his 2001 book “Oversold and Underused: Computers in the Classroom” have used a distinct set of “interlocking assumptions” to justify the expenses and adoption of technologies since the push to put PCs in every classroom and wire schools for the internet.
These “interlocking assumptions” can be captured in the following:
- availability = increased use
- increased use = efficient teaching and better learning
- efficient teaching and better learning = higher achievement and better educated and capable workers.
These assumptions (by the way come directly from Cuban’s 2001 book) have not proven to be true at all.
Ed Tech and school technology boosters have been using those assumptions to the point that they are clichés. They are as tired and worn out as an old 386 PC sitting on a shelf gathering dust and are not true.
The problem is, you can map the same assumptions on current efforts to push AI into schools. For example:
- If AI is available to students in classrooms, then there will be increased use by teachers and students.
- If students and teachers increase their use of AI in the classroom, then more efficient teaching and better learning will occur.
- If there’s more efficient teaching and better learning, then students will be better educated for the workforce and experience higher achievement.
You really have to hand it to the Ed Tech world and Ed AI boosters; they stick to the script, and not a single speck of out-of-the-box thinking here.
That’s the problem with all of the AI hype and push into education; there’s nothing original, absolutely nothing original about it.
Ed Tech and AI boosters are so enamored with the tech, they can’t stop to have single critical thought. They are unable to criticize the current claims being made about AI and have bought into the gold rush to integration.
Like computers, AI is being “Oversold and will likely be underused” just like computers were when Cuban wrote his book.
And, I would say for the exact same reason: teachers, those in the classrooms now, are being trained on and marketed to; they are being coaxed and made to feel guilty; and they are being called out of touch and a Luddite if they resist.
Just like Cuban pointed out in 2001 about computers: teachers are not being given a say on how and whether AI is useful in their teaching and in their students’ learning.
If I were into betting in long-term prediction markets, after all the AI boosterism’s push into schools is done, we will get the same results we have with all the other technology integration efforts, which is a lot of money, time, and effort wasted with little to show for it.
You would think Ed Tech and AI boosters would use some different kind of promotional playbook with a new set of assumptions, but alas, when you have a unquestioning “fundamentalist faith” that technology will bring salvation, you keep waiting for your messiah.