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“Science is the belief in the ignorance of experts.”
― Richard P. Feynman
But let's trust them to have a better idea than we do.

Todays’ digital dictionaries, that allow us to speak words to see spellings, listen to pronunciations, and even practice pronunciations are a vast improvement over paper dictionaries for those who want to be more efficient in learning the words that entertain them and make them more accurate communicators.

I recall reacting with some indignation when my classmates and I asked “how do you spell that?” and my teachers responded “look it up in the dictionary.” We were right.

Is data backed up regularly and reliably? How do you know?

Learning requires engagement; students must think about the new material. Without that, the outcomes don't matter.

“If you thought that science was certain - well, that is just an error on your part.”
― Richard P. Feynman

Identifying correlations is easy... so easy AI can do it.

“Religion is a culture of faith; science is a culture of doubt.”
― Richard P. Feynman

Diverse groups make better decisions. Deal with it.

Human care about the messages, technology does not. The messages “baby is a healthy girl” (with its 22 characters—including spaces) is the same as “grandmother died today” those messages have much different meanings for humans however.

Once we recognize that education is a technology, we must recognize that like all technologies it is not neutral. How it is organized and how students (and teachers and others) experience it exerts real and powerful influences on how humans interact with information and thus with how their brains work.

One of the underlying assumptions about technology is that it makes life easier or more efficient. This turns out to be a false assumption.

“Eliminate the impossible and whatever remained, however improbable, was the truth.”
― Isaac Asimov

Technologies transfer (sometimes). The technologies developed in one area for one population may not be accepted in other populations or have the same result.

The leader is called out for being a poor communicator and not transparent in a high profile situation.

The leader develops a plan and the board "supports the plan."

No one knows the plan. 🤦

What if you data are all invalid. Do you still want to make "data-driven" decisions?

“Nothing goes really to waste if you're determined to learn.”
― Isaac Asimov

The construct and the instrument seem to have converged in education; “performance on the test” is the goal, but there is no agreement that the goal is worthy or measuring what it is designed to measure. This makes “data-driven decision-making” inherently unscientific.

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